Triple

T1231054
Position Surface form Disambiguated ID Type / Status
Subject Getting to Happy E26442 entity
Predicate mainCharacter P1183 FINISHED
Object Gloria Matthews E102027 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: Gloria Matthews | Statement: [Getting to Happy, mainCharacter, Gloria Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Matthews
Context triple: [Getting to Happy, mainCharacter, Gloria Matthews]
  • A. Gloria Matthews chosen
    Gloria Matthews is a central character in Terry McMillan’s novel and its film adaptation "Waiting to Exhale," portrayed as a single mother navigating love, self-worth, and friendship.
  • B. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • C. Candy Clark
    Candy Clark is an American actress best known for her Academy Award–nominated role in the coming-of-age film "American Graffiti."
  • D. Leola Brown
    Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
  • E. Gloria Page
    Gloria Page is known as the mother of Larry Page, the co-founder of Google.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab57c8c81908b1dbdaf7ba4b29b completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:47 p.m.