Triple

T5201333
Position Surface form Disambiguated ID Type / Status
Subject Darling Companion E117398 entity
Predicate hasCastMember P2308 FINISHED
Object Dianne Wiest E38535 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: Dianne Wiest | Statement: [Darling Companion, hasCastMember, Dianne Wiest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dianne Wiest
Context triple: [Darling Companion, hasCastMember, Dianne Wiest]
  • A. Dianne Wiest chosen
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • B. Jessica Walter
    Jessica Walter was an American actress best known for her sharp, comedic portrayal of Lucille Bluth on the television series "Arrested Development."
  • C. Amanda Plummer
    Amanda Plummer is an American actress known for her intense, eccentric character roles in films such as "Pulp Fiction" and "The Fisher King," as well as her work on stage and television.
  • D. Rhea Perlman
    Rhea Perlman is an American actress best known for her Emmy-winning role as the sharp-tongued waitress Carla Tortelli on the classic sitcom "Cheers."
  • E. Ann Dowd
    Ann Dowd is an American character actress known for her intense, often unsettling performances in film and television, including roles in projects like "The Handmaid's Tale" and numerous acclaimed dramas and thrillers.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a228e2c81908bfbd48ed9f2cd5e completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186fe9308190ba81af4931e97b42 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:47 p.m.