Triple

T5073408
Position Surface form Disambiguated ID Type / Status
Subject Joel Schumacher E114333 entity
Predicate directed P7373 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: [Joel Schumacher, directed, Tigerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigerland
Context triple: [Joel Schumacher, directed, 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. 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.
  • E. Le Tigre
    Le Tigre was the fierce political nickname of French statesman Georges Clemenceau, reflecting his combative and determined leadership style, especially during World War I.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74cfa4348190bc50590117a6bcf9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba689ee081909a6bb75c6da07db5 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:39 p.m.