Triple

T9972795
Position Surface form Disambiguated ID Type / Status
Subject The Women of Brewster Place E196249 entity
Predicate stars P1956 FINISHED
Object Jackée Harry E620800 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: Jackée Harry | Statement: [The Women of Brewster Place, stars, Jackée Harry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackée Harry
Context triple: [The Women of Brewster Place, stars, Jackée Harry]
  • A. Jackée Harry chosen
    Jackée Harry is an American actress and comedian best known for her roles on the sitcoms "227" and "Sister, Sister."
  • B. Judi Farr
    Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
  • C. Constanta Hopkins
    Constanta Hopkins was a member of the early 17th-century Hopkins family associated with the Mayflower Pilgrims and the Plymouth Colony.
  • D. Lisa Mann
    Lisa Mann is an actress known for her role in the film "Lilies of the Field."
  • E. Margot Kerr
    Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7bb03688190a3f4fc1988b8fafa completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dd3e47c819095fef68b9939ec19 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.