Triple

T5694377
Position Surface form Disambiguated ID Type / Status
Subject Bradley Cooper as Pat Solitano E125500 entity
Predicate characterName P36851 FINISHED
Object Pat Solitano E125499 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: Pat Solitano | Statement: [Bradley Cooper as Pat Solitano, characterName, Pat Solitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Solitano
Context triple: [Bradley Cooper as Pat Solitano, characterName, Pat Solitano]
  • A. Pat Solitano chosen
    Pat Solitano is the emotionally volatile, bipolar former teacher struggling to rebuild his life and relationships in the film "Silver Linings Playbook."
  • B. Pat Solitano Sr.
    Pat Solitano Sr. is a character in the film "Silver Linings Playbook," portrayed as the superstitious, emotionally volatile father of the protagonist, Pat Solitano.
  • C. Paul Sciarra
    Paul Sciarra is an American entrepreneur best known as a co-founder of the visual discovery and bookmarking platform Pinterest.
  • D. Joe D'Arco
    Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
  • E. Tony Corrente
    Tony Corrente is an American football official best known for his long NFL refereeing career, including serving as the head referee for multiple high-profile games.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097e2c0648190abedcd9ea463eb84 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:45 p.m.