Triple

T22022987
Position Surface form Disambiguated ID Type / Status
Subject Insecure E543887 entity
Predicate executiveProducer P7225 FINISHED
Object Melina Matsoukas 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: Melina Matsoukas | Statement: [Insecure, executiveProducer, Melina Matsoukas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melina Matsoukas
Context triple: [Insecure, executiveProducer, Melina Matsoukas]
  • A. Melina Matsoukas chosen
    Melina Matsoukas is an acclaimed American director known for her visually distinctive music videos and her work on film and television projects such as "Queen & Slim" and "Insecure."
  • B. Anna Kaufman
    Anna Kaufman is the daughter of acclaimed American screenwriter and director Charlie Kaufman.
  • C. Ruth Heller
    Ruth Heller was an American author and illustrator best known for her richly detailed, rhyming children's picture books that teach language and grammar concepts.
  • D. Anna Boden
    Anna Boden is an American filmmaker best known for co-directing the Marvel Studios superhero film "Captain Marvel" and for her long-time creative partnership with Ryan Fleck on independent dramas.
  • E. Kate Lemmon
    Kate Lemmon is a fictional character who serves as the central protagonist in the comedy film "The Tall Guy."
  • 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_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.