Triple

T1556697
Position Surface form Disambiguated ID Type / Status
Subject Bernadine Harris E33220 entity
Predicate appearsIn 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: [Bernadine Harris, appearsIn, Waiting to Exhale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waiting to Exhale
Context triple: [Bernadine Harris, appearsIn, 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908704d208190937af41c6454df4e completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370e10248190b060a0209b979ef9 completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.