Triple

T14974688
Position Surface form Disambiguated ID Type / Status
Subject Soul Plane E373413 entity
Predicate director P255 FINISHED
Object Jessy Terrero E369334 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: Jessy Terrero | Statement: [Soul Plane, director, Jessy Terrero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessy Terrero
Context triple: [Soul Plane, director, Jessy Terrero]
  • A. Jessy Terrero chosen
    Jessy Terrero is a Dominican-American film and music video director known for his work on hip-hop and reggaeton videos as well as feature films.
  • B. Dascha Polanco
    Dascha Polanco is a Dominican-American actress best known for her role as Dayanara Diaz on the Netflix series "Orange Is the New Black."
  • C. Gia Ruiz
    Gia Ruiz is an American art director and former teacher best known as the wife of actor and comedian Danny McBride.
  • D. Jossalyn Romo
    Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
  • E. Tatiana Gutierrez
    Tatiana Gutierrez is a recurring nurse character in The Evil Within survival horror video game series, serving as a mysterious guide and save-point attendant for the protagonist within the STEM world.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d6ddbc81908b010a54ee728dfe completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 2:51 a.m.