Triple

T21448969
Position Surface form Disambiguated ID Type / Status
Subject Grady "Coon-Ass" Travis E529154 entity
Predicate firstAppearance P795 FINISHED
Object Fury (2014 film) NE NERFINISHED

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: Fury (2014 film) | Statement: [Grady "Coon-Ass" Travis, firstAppearance, Fury (2014 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fury (2014 film)
Context triple: [Grady "Coon-Ass" Travis, firstAppearance, Fury (2014 film)]
  • A. Fury (2014 film) chosen
    Fury is a 2014 World War II war film that follows a battle-hardened American tank crew fighting behind enemy lines in Nazi Germany.
  • B. Fury
    Fury is the nickname of Ottawa Fury FC, a professional soccer club based in Ottawa, Canada.
  • C. Fury
    Fury is a 1936 American crime drama film directed by Fritz Lang, often regarded as his first major Hollywood work and a powerful critique of mob justice.
  • D. Fury
    Fury is a mythological avenging spirit, one of the Furies (Erinyes) from Greek and Roman mythology, who personifies vengeance and retribution.
  • E. Fury
    "Fury" is an episode of Star Trek: Voyager that focuses on the return of the Ocampa woman Kes in a darker, more vengeful role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.