Triple

T12581323
Position Surface form Disambiguated ID Type / Status
Subject Anna Erskine E300342 entity
Predicate mother P120 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: [Anna Erskine, mother, Lindsay Crouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Crouse
Context triple: [Anna Erskine, mother, 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. Karen Kline
    Karen Kline is an American psychotherapist best known as the longtime spouse of Academy Award–winning actress Linda Hunt.
  • C. Danielle Kaye
    Danielle Kaye is known as the spouse of British film director and music video creator Tony Kaye.
  • D. Patricia Wettig
    Patricia Wettig is an American actress best known for her Emmy-winning role on the television series "thirtysomething" and her work in film and TV dramas.
  • E. Rachel Messerer
    Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea99ac88190bc0220a18c58f755 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:02 p.m.