Triple

T19742293
Position Surface form Disambiguated ID Type / Status
Subject The Red Line E474155 entity
Predicate stars P1956 FINISHED
Object Emayatzy Corinealdi 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: Emayatzy Corinealdi | Statement: [The Red Line, stars, Emayatzy Corinealdi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emayatzy Corinealdi
Context triple: [The Red Line, stars, Emayatzy Corinealdi]
  • A. Emayatzy Corinealdi chosen
    Emayatzy Corinealdi is an American actress known for her acclaimed performances in film and television dramas, including a leading role in the series "Hand of God."
  • B. Ava Castro
    Ava Castro is an actress known for playing the character Rebecca Pearson.
  • C. Juni Cortez
    Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
  • D. Janet Grillo
    Janet Grillo is an American film producer, director, and writer known for her work on independent films and her advocacy for autism awareness.
  • E. Rutanya Alda
    Rutanya Alda is a Latvian-American character actress known for her roles in films such as "The Deer Hunter," "Mommie Dearest," and numerous other horror and drama movies.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.