Triple

T13744701
Position Surface form Disambiguated ID Type / Status
Subject Intuition E330181 entity
Predicate hasPart P35 FINISHED
Object Rainman E316447 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: Rainman | Statement: [Intuition, hasPart, Rainman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainman
Context triple: [Intuition, hasPart, Rainman]
  • A. Rain Man chosen
    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.
  • B. As Good as It Gets
    As Good as It Gets is a 1997 romantic comedy-drama film about a misanthropic novelist whose life changes through unexpected relationships with a waitress and a gay artist.
  • C. Forrest Gump
    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.
  • D. Scent of a Woman
    Scent of a Woman is a 1992 drama film in which Al Pacino delivers an Oscar-winning performance as a blind, irascible former Army officer.
  • E. Seven Pounds
    Seven Pounds is a 2008 drama film starring Will Smith as a man seeking redemption through a series of life-changing acts of generosity toward strangers.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.