Triple

T3009473
Position Surface form Disambiguated ID Type / Status
Subject Carl Sagan bibliography E81981 entity
Predicate includesNotableWork P24127 FINISHED
Object Comet
Comet is a popular science book by Carl Sagan and Ann Druyan that explores the nature, history, and cultural impact of comets in the solar system.
E318054 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: Comet | Statement: [Carl Sagan bibliography, includesNotableWork, Comet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comet
Context triple: [Carl Sagan bibliography, includesNotableWork, Comet]
  • A. Comet
    Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
  • B. Komet
    Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
  • C. Comets
    The Comets are the athletic teams representing Capital University in intercollegiate sports.
  • D. Dibiasky comet
    The Dibiasky comet is the fictional, Earth-destroying comet central to the plot of the satirical disaster film "Don't Look Up."
  • E. Comet 67P/Churyumov–Gerasimenko
    Comet 67P/Churyumov–Gerasimenko is a Jupiter-family comet best known as the target of the European Space Agency’s Rosetta mission, which achieved the first-ever soft landing on a comet’s surface.
  • 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: Comet
Triple: [Carl Sagan bibliography, includesNotableWork, Comet]
Generated description
Comet is a popular science book by Carl Sagan and Ann Druyan that explores the nature, history, and cultural impact of comets in the solar system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Comet
Target entity description: Comet is a popular science book by Carl Sagan and Ann Druyan that explores the nature, history, and cultural impact of comets in the solar system.
  • A. Comet
    Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
  • B. Komet
    Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
  • C. Comets
    The Comets are the athletic teams representing Capital University in intercollegiate sports.
  • D. Dibiasky comet
    The Dibiasky comet is the fictional, Earth-destroying comet central to the plot of the satirical disaster film "Don't Look Up."
  • E. Comet 67P/Churyumov–Gerasimenko
    Comet 67P/Churyumov–Gerasimenko is a Jupiter-family comet best known as the target of the European Space Agency’s Rosetta mission, which achieved the first-ever soft landing on a comet’s surface.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e11c4188190a3ae8fd0cbd8c2c0 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5f612c8190824deb0813a9f981 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12eec384881908e6bbb6b52a3f607 completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1ca54a5ec8190b8f35119ae23051f completed March 11, 2026, 8:02 p.m.
Created at: March 8, 2026, 3 p.m.