Triple

T17715014
Position Surface form Disambiguated ID Type / Status
Subject Stacked E442172 entity
Predicate starring P1507 FINISHED
Object Marissa Jaret Winokur NE NERFINISHED

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: Marissa Jaret Winokur | Statement: [Stacked, starring, Marissa Jaret Winokur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marissa Jaret Winokur
Context triple: [Stacked, starring, Marissa Jaret Winokur]
  • A. Marissa Jaret Winokur chosen
    Marissa Jaret Winokur is an American actress and singer best known for her Tony Award–winning performance as Tracy Turnblad in the Broadway musical "Hairspray."
  • B. Melissa Winogrand
    Melissa Winogrand is known as one of the children of influential American street photographer Garry Winogrand.
  • C. Mindi Dickstein
    Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
  • D. Lisa Bluder
    Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
  • E. Stacey Mindich
    Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4747f217081909010f396caaf03be completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.