Triple

T2692837
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Crouse E58443 entity
Predicate name P16 FINISHED
Object Lindsay Crouse E58443 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: Lindsay Crouse | Statement: [Lindsay Crouse, name, Lindsay Crouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Crouse
Context triple: [Lindsay Crouse, name, Lindsay Crouse]
  • A. Lindsay Crouse chosen
    Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
  • B. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • C. JoBeth Williams
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
  • D. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • E. Elisabeth Shue
    Elisabeth Shue is an American actress known for her roles in films such as "The Karate Kid," "Adventures in Babysitting," and "Leaving Las Vegas," for which she received an Academy Award nomination.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02d8730819093a576d3751432de completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:54 p.m.