Triple

T10972351
Position Surface form Disambiguated ID Type / Status
Subject John Grimes E259271 entity
Predicate screenwriterOfWork P25235 FINISHED
Object Ken Nolan E259270 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: Ken Nolan | Statement: [John Grimes, screenwriterOfWork, Ken Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Nolan
Context triple: [John Grimes, screenwriterOfWork, Ken Nolan]
  • A. Ken Nolan chosen
    Ken Nolan is an American screenwriter best known for adapting Mark Bowden’s nonfiction book into the acclaimed war film "Black Hawk Down."
  • B. Steve Nolan
    Steve Nolan is a fictional character appearing in the 1977 film "American Woman."
  • C. David Nolan
    David Nolan is a relatively common personal name shared by multiple individuals, including politicians, athletes, and fictional characters.
  • D. Ted Nolan
    Ted Nolan is a Canadian former professional ice hockey player and coach, best known for winning the Jack Adams Award as NHL coach of the year with the Buffalo Sabres and for his advocacy for Indigenous peoples in sport.
  • E. Jeff Cronenweth
    Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.