Triple

T8450724
Position Surface form Disambiguated ID Type / Status
Subject The Big Short E199791 entity
Predicate castMember P1668 FINISHED
Object John Magaro E322291 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: John Magaro | Statement: [The Big Short, castMember, John Magaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Magaro
Context triple: [The Big Short, castMember, John Magaro]
  • A. John Magaro chosen
    John Magaro is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Big Short," "First Cow," and various Broadway productions.
  • B. Giovanni Ribisi
    Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
  • C. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • D. Cheyenne Jackson
    Cheyenne Jackson is an American actor and singer known for his work on Broadway and in television series such as "30 Rock," "Glee," and "American Horror Story."
  • E. Tyler Hoechlin
    Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42328b0c8190869e68226e0b467f completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:09 p.m.