Triple

T5254971
Position Surface form Disambiguated ID Type / Status
Subject Alan Heim E118676 entity
Predicate edited P1932 FINISHED
Object The Fan E101099 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: The Fan | Statement: [Alan Heim, edited, The Fan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fan
Context triple: [Alan Heim, edited, The Fan]
  • A. The Fan chosen
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • B. 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.
  • C. Fever Pitch
    Fever Pitch is a 2005 romantic comedy film about a baseball-obsessed schoolteacher whose devotion to the Boston Red Sox complicates his relationship.
  • D. The B Team
    The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
  • E. The Ref
    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.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.