Triple

T16190577
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Coolidge E392926 entity
Predicate characterPortrayed P1507 FINISHED
Object Paulette Bonafonté E951530 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: Paulette Bonafonté | Statement: [Jennifer Coolidge, characterPortrayed, Paulette Bonafonté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulette Bonafonté
Context triple: [Jennifer Coolidge, characterPortrayed, Paulette Bonafonté]
  • A. Paulette Bonafonté chosen
    Paulette Bonafonté is a lovable, quirky Boston hairstylist and Elle Woods’s supportive friend in the musical and film versions of Legally Blonde.
  • B. Annette Roque
    Annette Roque is a Dutch former model and equestrian who gained public attention as the ex-wife of American television journalist Matt Lauer.
  • C. Janine Perreau
    Janine Perreau is an American former child actress who appeared in several films and television shows during the 1950s and 1960s.
  • D. Marjorie Estiano
    Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
  • E. Peggy Bellecourt
    Peggy Bellecourt is known as the wife of Native American civil rights leader and American Indian Movement co-founder Clyde Bellecourt.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.