Triple

T15805318
Position Surface form Disambiguated ID Type / Status
Subject Tim Suhrstedt E383199 entity
Predicate notableWork P4 FINISHED
Object The Ref E485722 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 Ref | Statement: [Tim Suhrstedt, notableWork, The Ref]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ref
Context triple: [Tim Suhrstedt, notableWork, 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 (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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.