Triple

T12542612
Position Surface form Disambiguated ID Type / Status
Subject Emily Lakdawalla E299879 entity
Predicate notableWork P4 FINISHED
Object The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job
*The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job* is a detailed non-fiction book that explains the technology, design decisions, and operational challenges behind NASA’s Curiosity Mars rover for a general science audience.
E990143 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job | Statement: [Emily Lakdawalla, notableWork, The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job
Context triple: [Emily Lakdawalla, notableWork, The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job]
  • A. Mars Science Laboratory entry, descent, and landing modeling
    Mars Science Laboratory entry, descent, and landing modeling is the suite of analytical and computational tools used to predict and optimize the Curiosity rover’s atmospheric entry, parachute descent, and landing performance on Mars.
  • B. Methane Sensor for Mars
    Methane Sensor for Mars is a scientific instrument aboard India’s Mars Orbiter Mission designed to detect and measure methane in the Martian atmosphere.
  • C. Sample Analysis at Mars
    Sample Analysis at Mars is a suite of scientific instruments on NASA's Curiosity rover designed to analyze the chemistry and mineralogy of Martian rocks, soil, and atmosphere.
  • D. Fast, cheap and out of control: A robot invasion of the solar system
    "Fast, cheap and out of control: A robot invasion of the solar system" is an influential essay by roboticist Rodney Brooks advocating for swarms of small, inexpensive, autonomous robots as a practical strategy for space exploration.
  • E. Compact Reconnaissance Imaging Spectrometer for Mars
    The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is a high-resolution imaging spectrometer aboard NASA’s Mars Reconnaissance Orbiter designed to map the planet’s mineralogy and detect signs of past water activity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job
Triple: [Emily Lakdawalla, notableWork, The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job]
Generated description
*The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job* is a detailed non-fiction book that explains the technology, design decisions, and operational challenges behind NASA’s Curiosity Mars rover for a general science audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job
Target entity description: *The Design and Engineering of Curiosity: How the Mars Rover Performs Its Job* is a detailed non-fiction book that explains the technology, design decisions, and operational challenges behind NASA’s Curiosity Mars rover for a general science audience.
  • A. Mars Science Laboratory entry, descent, and landing modeling
    Mars Science Laboratory entry, descent, and landing modeling is the suite of analytical and computational tools used to predict and optimize the Curiosity rover’s atmospheric entry, parachute descent, and landing performance on Mars.
  • B. Methane Sensor for Mars
    Methane Sensor for Mars is a scientific instrument aboard India’s Mars Orbiter Mission designed to detect and measure methane in the Martian atmosphere.
  • C. Sample Analysis at Mars
    Sample Analysis at Mars is a suite of scientific instruments on NASA's Curiosity rover designed to analyze the chemistry and mineralogy of Martian rocks, soil, and atmosphere.
  • D. Fast, cheap and out of control: A robot invasion of the solar system
    "Fast, cheap and out of control: A robot invasion of the solar system" is an influential essay by roboticist Rodney Brooks advocating for swarms of small, inexpensive, autonomous robots as a practical strategy for space exploration.
  • E. Compact Reconnaissance Imaging Spectrometer for Mars
    The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is a high-resolution imaging spectrometer aboard NASA’s Mars Reconnaissance Orbiter designed to map the planet’s mineralogy and detect signs of past water activity.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.