Triple

T1751881
Position Surface form Disambiguated ID Type / Status
Subject Mykelti Williamson E38461 entity
Predicate appearedIn P795 FINISHED
Object Waiting to Exhale E4612 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: Waiting to Exhale | Statement: [Mykelti Williamson, appearedIn, Waiting to Exhale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waiting to Exhale
Context triple: [Mykelti Williamson, appearedIn, Waiting to Exhale]
  • A. Waiting to Exhale chosen
    Waiting to Exhale is a 1995 romantic drama film, based on Terry McMillan’s novel, that follows the intertwined lives and relationships of four African-American women.
  • B. Sure Thing
    "Sure Thing" is a smooth, R&B love song by American singer Miguel that became one of his breakout hits and a fan favorite.
  • C. She’s Gotta Have It
    She’s Gotta Have It is a 1986 independent romantic comedy-drama film written and directed by Spike Lee that explores a young Brooklyn woman’s relationships with three very different men.
  • D. The Bodyguard
    The Bodyguard is a 1992 romantic thriller film starring Kevin Costner and Whitney Houston, featuring Houston’s iconic performance and hit soundtrack including “I Will Always Love You.”
  • E. Death Becomes Her
    Death Becomes Her is a 1992 dark comedy fantasy film known for its satirical take on vanity and immortality and its groundbreaking visual effects.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6411cc788190a052b029dbffa7ca completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e625c48190a0fbda31010bdc5f completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.