Triple

T6296627
Position Surface form Disambiguated ID Type / Status
Subject Beau Flynn E141146 entity
Predicate notableWork P4 FINISHED
Object Tigerland E310919 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: Tigerland | Statement: [Beau Flynn, notableWork, Tigerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigerland
Context triple: [Beau Flynn, notableWork, Tigerland]
  • A. Tigerland chosen
    Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
  • B. Save the Tiger
    Save the Tiger is a 1973 American drama film starring Jack Lemmon as a troubled businessman facing a midlife and moral crisis.
  • C. Tigers of Shanghai
    Tigers of Shanghai is a professional esports team associated with the Gen.G organization, known for competing in high-level competitive gaming tournaments.
  • D. Red Dawn
    Red Dawn is a 1984 American war film depicting a group of small-town teenagers who form a guerrilla resistance after a Soviet-led invasion of the United States.
  • E. Le Tigre
    Le Tigre is an American feminist electroclash and dance-punk band known for its politically charged lyrics, DIY aesthetic, and fusion of punk, electronic, and pop influences.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.