Triple

T6103015
Position Surface form Disambiguated ID Type / Status
Subject Air Force E136047 entity
Predicate director P255 FINISHED
Object Howard Hawks E17746 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: Howard Hawks | Statement: [Air Force, director, Howard Hawks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Hawks
Context triple: [Air Force, director, Howard Hawks]
  • A. Howard Hawks chosen
    Howard Hawks was a versatile and influential American filmmaker of the Hollywood Golden Age, renowned for directing classic films across genres including screwball comedies, film noir, westerns, and adventure dramas.
  • B. Raoul Walsh
    Raoul Walsh was a prolific American film director and actor known for his influential work in early Hollywood cinema, particularly in action, adventure, and crime films.
  • C. Ray Stark
    Ray Stark was a prominent American film producer known for backing major Hollywood hits from the 1960s onward, often collaborating with top stars and directors.
  • D. Michael Curtiz
    Michael Curtiz was a Hungarian-American film director best known for helming classic Hollywood films such as "Casablanca."
  • E. John Sturges
    John Sturges was an American film director best known for his classic action and Western films, including "The Great Escape" and "Bad Day at Black Rock."
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16eb7a0548190ab661b0e68a4ef47 completed March 23, 2026, 4:47 p.m.
Created at: March 22, 2026, 4:13 p.m.