Triple

T2664157
Position Surface form Disambiguated ID Type / Status
Subject Mount Company E55592 entity
Predicate notableWork P4 FINISHED
Object Bull Durham E10158 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: Bull Durham | Statement: [Mount Company, notableWork, Bull Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bull Durham
Context triple: [Mount Company, notableWork, Bull Durham]
  • A. Bull Durham
    Bull Durham was a famous American brand of loose-leaf smoking tobacco that became an iconic product in U.S. tobacco history.
  • B. film "Bull Durham" chosen
    "Bull Durham" is a 1988 romantic sports comedy film about minor league baseball, celebrated for its witty dialogue, mature relationships, and authentic portrayal of the game.
  • C. The Yanks
    The Yanks is a common nickname for the United States men's national soccer team, reflecting its American identity and heritage.
  • D. The Slugger’s Wife
    The Slugger’s Wife is a 1985 romantic comedy film about a baseball star and a nightclub singer whose relationship is tested by fame and personal ambition.
  • E. The Yankee
    The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96dba44819085c3e651afba7806 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb674ed4c8190a398fccdbd30e9c2 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:54 p.m.