Triple

T9802161
Position Surface form Disambiguated ID Type / Status
Subject John Woo E237863 entity
Predicate directed P7373 FINISHED
Object Face/Off E308001 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: Face/Off | Statement: [John Woo, directed, Face/Off]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Face/Off
Context triple: [John Woo, directed, Face/Off]
  • A. Face/Off chosen
    Face/Off is a 1997 action thriller film directed by John Woo, best known for its high-concept premise of two rivals swapping faces and identities, starring John Travolta and Nicolas Cage.
  • B. Last Action Hero
    Last Action Hero is a 1993 action-comedy film that parodies and pays homage to Hollywood action movies through a meta, self-aware story about a boy who enters the world of his favorite action hero.
  • C. Enemy of the State
    "Enemy of the State" is a 1998 American techno-thriller film about government surveillance and civil liberties, starring Will Smith and Gene Hackman.
  • D. Enemy of the State
    Enemy of the State is a popular Marvel Comics Wolverine storyline in which he is brainwashed into becoming a deadly assassin for his enemies, forcing him to battle many of his former allies.
  • E. Demolition Man
    Demolition Man is a 1993 sci-fi action film set in a dystopian future where a cryogenically frozen cop and criminal are revived to resume their battle in a highly controlled, sanitized society.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.