Triple

T3205037
Position Surface form Disambiguated ID Type / Status
Subject Why Did I Get Married? E67140 entity
Predicate stars P1956 FINISHED
Object Sharon Leal E235571 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: Sharon Leal | Statement: [Why Did I Get Married?, stars, Sharon Leal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon Leal
Context triple: [Why Did I Get Married?, stars, Sharon Leal]
  • A. Sharon Leal chosen
    Sharon Leal is an American actress and singer known for her roles in film, television, and musical theater, including the movie adaptation of "Dreamgirls."
  • B. Sharon Calahan
    Sharon Calahan is an American cinematographer and visual artist best known for pioneering the painterly, naturalistic lighting style in early Pixar animated films.
  • C. Sharon Sheeley
    Sharon Sheeley was an American songwriter best known for penning early rock and roll hits and for her collaborations with artists like Ricky Nelson and Eddie Cochran.
  • D. Sharon Charles
    Sharon Charles is the central protagonist of the 2009 psychological thriller film "Obsessed," portrayed by Beyoncé Knowles as a wife and mother whose marriage is threatened by a stalker.
  • E. Sharon Black
    Sharon Black is a notable individual whose achievements or public presence have made the surname Black recognizable in her context.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda3e679a881908f91a36675037d1a completed March 20, 2026, 7:45 p.m.
Created at: March 8, 2026, 3:07 p.m.