Triple

T4805626
Position Surface form Disambiguated ID Type / Status
Subject Stephen Baxter E106938 entity
Predicate notableWork P4 FINISHED
Object Ark
Ark is a hard science fiction novel by Stephen Baxter that explores humanity's desperate attempts to escape a flooded Earth via interstellar ark ships.
E469528 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: Ark | Statement: [Stephen Baxter, notableWork, Ark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ark
Context triple: [Stephen Baxter, notableWork, Ark]
  • A. Ark
    Ark was one of the two ships that carried the first group of English settlers to establish the Maryland colony in North America in the 17th century.
  • B. Andre
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • C. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • D. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • E. Aaron
    Aaron is a prominent biblical figure known as Moses’ brother and the first high priest of the Israelites.
  • 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: Ark
Triple: [Stephen Baxter, notableWork, Ark]
Generated description
Ark is a hard science fiction novel by Stephen Baxter that explores humanity's desperate attempts to escape a flooded Earth via interstellar ark ships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ark
Target entity description: Ark is a hard science fiction novel by Stephen Baxter that explores humanity's desperate attempts to escape a flooded Earth via interstellar ark ships.
  • A. Ark
    Ark was one of the two ships that carried the first group of English settlers to establish the Maryland colony in North America in the 17th century.
  • B. Andre
    Andre is the given name of Andre Reed, a former American football wide receiver best known for his long career with the Buffalo Bills in the NFL.
  • C. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • D. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • E. Aaron
    Aaron is a prominent biblical figure known as Moses’ brother and the first high priest of the Israelites.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c678e58819094cdf18d8c5ea96f completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be440706888190a5f62bef629d3777 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be45e0c5a48190b9e390048c863f06 completed March 21, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69be46ef17588190a9bc179029e0a6a0 completed March 21, 2026, 7:21 a.m.
Created at: March 20, 2026, 1:23 p.m.