Triple

T9086320
Position Surface form Disambiguated ID Type / Status
Subject Sally Field E217763 entity
Predicate child P120 FINISHED
Object Peter Craig E420157 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: Peter Craig | Statement: [Sally Field, child, Peter Craig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Craig
Context triple: [Sally Field, child, Peter Craig]
  • A. Peter Craig chosen
    Peter Craig is an American screenwriter and novelist known for co-writing major films such as "The Town," "The Batman," and "Top Gun: Maverick."
  • B. Steven Craig
    Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
  • C. Sam Craig
    Sam Craig is a central character in the classic film "Woman of the Year," serving as the down-to-earth sports reporter whose relationship with high-profile journalist Tess Harding drives the movie’s romantic and thematic conflicts.
  • D. Stephen Lyle Craig
    Stephen Lyle Craig is an American former basketball player and businessman best known for twice marrying entertainer Marie Osmond.
  • E. Ian Crafford
    Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9654cb3c819089fa8c0ab0841c81 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017c893fc819087d18db2383b9bb4 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:13 p.m.