Triple

T16641098
Position Surface form Disambiguated ID Type / Status
Subject Not Fair E404338 entity
Predicate musicVideoDirector P4911 FINISHED
Object Melina Matsoukas E240193 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: Melina Matsoukas | Statement: [Not Fair, musicVideoDirector, Melina Matsoukas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melina Matsoukas
Context triple: [Not Fair, musicVideoDirector, 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. 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.
  • D. Kate Lemmon
    Kate Lemmon is a fictional character who serves as the central protagonist in the comedy film "The Tall Guy."
  • E. Maia Mazzara
    Maia Mazzara is a French figure skater who has represented France in major international competitions, including the European Figure Skating Championships.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.