Triple

T5706086
Position Surface form Disambiguated ID Type / Status
Subject Practical Magic E125786 entity
Predicate stars P1956 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: [Practical Magic, stars, Dianne Wiest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dianne Wiest
Context triple: [Practical Magic, stars, 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. Stockard Channing
    Stockard Channing is an American actress best known for her roles as Rizzo in the film "Grease" and First Lady Abbey Bartlet on the television series "The West Wing."
  • D. 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.
  • E. 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."
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf87816c81909fa505cbd23c89c5 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:45 p.m.