Triple

T1006138
Position Surface form Disambiguated ID Type / Status
Subject Graham Hancock E21716 entity
Predicate familyName P18 FINISHED
Object Hancock E3527 NE FINISHED

How this triple was built (2 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: Hancock | Statement: [Graham Hancock, familyName, Hancock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hancock
Context triple: [Graham Hancock, familyName, Hancock]
  • A. Hancock chosen
    Hancock is a prominent surname most famously associated with John Hancock, a key figure of the American Revolution and first signer of the United States Declaration of Independence.
  • B. Hancock
    Hancock is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
  • C. Rushmore
    Rushmore is a 1998 Wes Anderson coming-of-age comedy film starring Jason Schwartzman and Bill Murray, known for its offbeat humor, distinctive visual style, and deadpan performances.
  • D. Elizabethtown
    Elizabethtown is a historic colonial-era settlement that served as an early political and economic center in what is now the state of New Jersey.
  • E. The National
    The National is an American indie rock band known for its brooding baritone vocals, intricate arrangements, and emotionally resonant songwriting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b51434f081909b301ad1c151af03 completed March 1, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba7063c8190ba79e974cf38cdea completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.