Triple

T22022239
Position Surface form Disambiguated ID Type / Status
Subject Promising Young Woman E543872 entity
Predicate castMember P1668 FINISHED
Object Laverne Cox 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: Laverne Cox | Statement: [Promising Young Woman, castMember, Laverne Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laverne Cox
Context triple: [Promising Young Woman, castMember, Laverne Cox]
  • A. Laverne Cox chosen
    Laverne Cox is an Emmy-nominated American actress and LGBTQ+ advocate best known for her groundbreaking role as Sophia Burset on the Netflix series "Orange Is the New Black."
  • B. Janet Mock
    Janet Mock is an American writer, director, and transgender rights activist known for her influential work in media and storytelling about trans experiences.
  • C. Tonya Lewit
    Tonya Lewit was the wife of Rabbi Joseph B. Soloveitchik, a leading 20th-century Orthodox Jewish rabbi and philosopher.
  • D. Aja Naomi King
    Aja Naomi King is an American actress best known for her role as Michaela Pratt on the television series "How to Get Away with Murder" and for her work in various film and television dramas.
  • E. Jennifer Finney Boylan
    Jennifer Finney Boylan is an American author, English professor, and prominent transgender activist known for her memoirs and advocacy for LGBTQ+ rights.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.