Triple

T6249164
Position Surface form Disambiguated ID Type / Status
Subject Sarah Austin E140000 entity
Predicate spouse P13 FINISHED
Object John Barry E10368 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: John Barry | Statement: [Sarah Austin, spouse, John Barry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Barry
Context triple: [Sarah Austin, spouse, John Barry]
  • A. John Barry chosen
    John Barry was an Irish-born American naval officer renowned as one of the founding captains of the United States Navy during the American Revolutionary era.
  • B. John Barry
    John Barry was a renowned British film composer best known for his iconic scores for the James Bond series and numerous other major motion pictures.
  • C. John Barry
    John Barry is an American naval historian and retired U.S. Navy rear admiral who also served on the Columbia Accident Investigation Board examining the 2003 Space Shuttle Columbia disaster.
  • D. John Williams
    John Williams was a British actor known for his character roles in mid-20th-century films and television, including classic courtroom dramas and comedies.
  • E. John Williams
    John Williams is an acclaimed American composer and conductor best known for his iconic film scores for franchises such as Star Wars, Indiana Jones, Harry Potter, and many others.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2441d4ad88190895237d834f5d9b8 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.