Triple

T11214401
Position Surface form Disambiguated ID Type / Status
Subject John Uhler Lemmon III E265395 entity
Predicate notableWork P4 FINISHED
Object Save the Tiger E243977 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: Save the Tiger | Statement: [John Uhler Lemmon III, notableWork, Save the Tiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Save the Tiger
Context triple: [John Uhler Lemmon III, notableWork, Save the Tiger]
  • A. Save the Tiger chosen
    Save the Tiger is a 1973 American drama film starring Jack Lemmon as a troubled businessman facing a midlife and moral crisis.
  • B. The Tiger
    The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
  • C. The Tiger
    The Tiger is the costumed tiger character that serves as the spirited athletic mascot for Clemson University’s sports teams.
  • D. Tigerland
    Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
  • E. Tigerland
    Tigerland is the popular nickname and cultural moniker for the Richmond Football Club and its passionate supporter base in Australian rules football.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.