Triple

T12669688
Position Surface form Disambiguated ID Type / Status
Subject John Wood E302643 entity
Predicate notableWork P4 FINISHED
Object Ladyhawke E515422 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: Ladyhawke | Statement: [John Wood, notableWork, Ladyhawke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladyhawke
Context triple: [John Wood, notableWork, Ladyhawke]
  • A. Ladyhawke chosen
    Ladyhawke is a 1985 fantasy adventure film blending romance and medieval magic, directed by Richard Donner and starring Rutger Hauer, Michelle Pfeiffer, and Matthew Broderick.
  • B. Miller's Crossing
    Miller's Crossing is a 1990 neo-noir gangster film by the Coen brothers, acclaimed for its stylized violence, sharp dialogue, and intricate plot about power struggles in Prohibition-era organized crime.
  • C. Prince of Thieves
    Prince of Thieves is a crime novel by Chuck Hogan that follows a skilled Boston bank robber whose life unravels when he falls for a woman connected to one of his heists.
  • D. Lady Saw
    Lady Saw is a pioneering Jamaican dancehall artist renowned for her explicit lyrics, powerful delivery, and status as one of the genre’s most influential female performers.
  • E. Dragonheart
    Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688e101481909bc3b9e13ed84632 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.