Triple

T15987861
Position Surface form Disambiguated ID Type / Status
Subject Theresa Lopez-Fitzgerald E387743 entity
Predicate portrayedBy P1507 FINISHED
Object Lindsay Korman E1072295 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 Korman | Statement: [Theresa Lopez-Fitzgerald, portrayedBy, Lindsay Korman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Korman
Context triple: [Theresa Lopez-Fitzgerald, portrayedBy, Lindsay Korman]
  • A. Lindsay Korman chosen
    Lindsay Korman, also known as Lindsay Hartley, is an American actress and singer best known for her roles on soap operas such as "Passions," "All My Children," and "Days of Our Lives."
  • B. Lindsay Shapero
    Lindsay Shapero is a screenwriter best known for writing the screenplay for the British spy drama film "Red Joan."
  • C. Lindsay Burdge
    Lindsay Burdge is an American independent film actress known for her intense, emotionally complex performances in arthouse dramas.
  • D. Heather Kadin
    Heather Kadin is an American television producer known for her work on genre series such as Sleepy Hollow and multiple projects with J.J. Abrams’ Bad Robot Productions.
  • E. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15781d590819096f7361ca9736721 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc8a8a081908ac1b431f524d650 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:54 a.m.