Triple

T14954571
Position Surface form Disambiguated ID Type / Status
Subject Joan Hambling E372886 entity
Predicate portrayedBy P1507 FINISHED
Object Holland Taylor E323994 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: Holland Taylor | Statement: [Joan Hambling, portrayedBy, Holland Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holland Taylor
Context triple: [Joan Hambling, portrayedBy, Holland Taylor]
  • A. Holland Taylor chosen
    Holland Taylor is an American actress and playwright known for her sharp-witted stage and screen performances, including acclaimed roles in television series like "Two and a Half Men" and her one-woman play "Ann."
  • B. Claudia Rose Pfeiffer
    Claudia Rose Pfeiffer is the adopted daughter of acclaimed American actress Michelle Pfeiffer.
  • C. Elizabeth Berridge
    Elizabeth Berridge is an American actress best known for her role as Constanze Mozart in the Academy Award–winning film "Amadeus."
  • D. Rebecca Pidgeon
    Rebecca Pidgeon is a British-American actress and singer-songwriter known for her work in film, television, and theater, as well as for her collaborations with playwright and filmmaker David Mamet.
  • E. 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.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a8b3708190be7c35a05fd08a52 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:40 a.m.