Triple

T18703947
Position Surface form Disambiguated ID Type / Status
Subject Geostorm E457322 entity
Predicate castMember P1668 FINISHED
Object Adepero Oduye 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: Adepero Oduye | Statement: [Geostorm, castMember, Adepero Oduye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adepero Oduye
Context triple: [Geostorm, castMember, Adepero Oduye]
  • A. Adepero Oduye chosen
    Adepero Oduye is an American actress and filmmaker best known for her acclaimed breakout performance in the independent drama film "Pariah."
  • B. Yaya DaCosta
    Yaya DaCosta is an American actress and model known for her work in film, television, and fashion, including roles in "America's Next Top Model," "The Butler," and "Chicago Med."
  • C. Sonequa Martin-Green
    Sonequa Martin-Green is an American actress best known for her leading role as Michael Burnham in "Star Trek: Discovery" and for playing Sasha Williams on "The Walking Dead."
  • D. Octavia Spencer
    Octavia Spencer is an American actress and producer acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Help."
  • E. Nicole Beharie
    Nicole Beharie is an American actress known for her powerful performances in film and television, including notable roles in projects like "Shame," "42," and the series "Sleepy Hollow."
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.