Triple

T19416196
Position Surface form Disambiguated ID Type / Status
Subject The Ref E485722 entity
Predicate title P38 FINISHED
Object The Ref 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: The Ref | Statement: [The Ref, title, The Ref]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ref
Context triple: [The Ref, title, The Ref]
  • A. The Ref chosen
    The Ref is a 1994 dark comedy film in which a burglar is forced to mediate a bickering couple’s marital problems on Christmas Eve.
  • B. The Referee
    The Referee is the official in association football responsible for enforcing the Laws of the Game, making decisions on play, and maintaining order on the field.
  • C. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • D. The Fan
    The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
  • E. The Rec
    The Rec is a well-known sports and recreation ground, most famously serving as the home stadium of the Bath Rugby Club in Bath, England.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af9c8fc81909860de10b6720207 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.