Triple

T3567653
Position Surface form Disambiguated ID Type / Status
Subject Steven Tisch E75489 entity
Predicate notableWork P4 FINISHED
Object Forrest Gump E35378 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: Forrest Gump | Statement: [Steven Tisch, notableWork, Forrest Gump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Gump
Context triple: [Steven Tisch, notableWork, Forrest Gump]
  • A. Forrest Gump chosen
    Forrest Gump is a 1994 American comedy-drama film following the life of a kind-hearted but simple man who unwittingly influences several historical events in the United States.
  • B. Rain Man
    Rain Man is a 1988 American drama film about a self-centered man who discovers his estranged autistic savant brother during a cross-country journey, starring Dustin Hoffman and Tom Cruise.
  • C. Hud
    Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
  • D. Okay Bill
    Okay Bill is a lesser-known film directed by Academy Award–winning filmmaker John G. Avildsen.
  • E. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.