Triple

T16310413
Position Surface form Disambiguated ID Type / Status
Subject Los Espookys E396039 entity
Predicate leadActor P1507 FINISHED
Object Julio Torres E1206316 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: Julio Torres | Statement: [Los Espookys, leadActor, Julio Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julio Torres
Context triple: [Los Espookys, leadActor, Julio Torres]
  • A. Julio Torres chosen
    Julio Torres is a Salvadoran-American writer, comedian, and director known for his surreal, offbeat humor and work on shows like Saturday Night Live and Los Espookys.
  • B. Joel Negron
    Joel Negron is a professional film editor known for his work on major Hollywood productions, including the adventure film "Jungle Cruise."
  • C. Jose Rivera
    Jose Rivera is a Puerto Rican playwright and screenwriter known for his lyrical, often magical realist works in theater and film, including the Oscar-nominated screenplay for "The Motorcycle Diaries."
  • D. Jon Huertas
    Jon Huertas is an American actor best known for his role as NYPD Detective Javier Esposito on the television series "Castle."
  • E. Adrian Molina
    Adrian Molina is an American animator, storyboard artist, and filmmaker best known for co-directing Pixar’s acclaimed animated film "Coco."
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da444408190b770055d84060f4d completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.