Triple

T12419056
Position Surface form Disambiguated ID Type / Status
Subject John F. Link E296716 entity
Predicate collaboratedWith P435 FINISHED
Object John McTiernan E151463 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 McTiernan | Statement: [John F. Link, collaboratedWith, John McTiernan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McTiernan
Context triple: [John F. Link, collaboratedWith, John McTiernan]
  • A. John McTiernan chosen
    John McTiernan is an American film director best known for influential action movies such as "Die Hard" and "Predator."
  • B. David Friedkin
    David Friedkin was an American screenwriter, director, and producer known for his work in mid-20th-century film and television.
  • C. John Boyd-Carpenter
    John Boyd-Carpenter was a British Conservative politician and government minister who held several senior posts in the mid-20th century, including key roles in economic and social policy.
  • D. Peter Hyams
    Peter Hyams is an American filmmaker known for directing and often writing and shooting genre films such as science fiction thrillers and action movies.
  • E. Christopher Landon
    Christopher Landon is an American film director, screenwriter, and producer best known for his work on the "Paranormal Activity" series and the "Happy Death Day" films.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.