Triple

T4033429
Position Surface form Disambiguated ID Type / Status
Subject Force of Evil E83767 entity
Predicate starring P1507 FINISHED
Object Thomas Gomez E33908 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: Thomas Gomez | Statement: [Force of Evil, starring, Thomas Gomez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Gomez
Context triple: [Force of Evil, starring, Thomas Gomez]
  • A. Thomas Gomez chosen
    Thomas Gomez was an American character actor known for his prolific work in film, television, and theater during the mid-20th century, often portraying memorable supporting roles.
  • B. Ron Pardo
    Ron Pardo is a Canadian actor and voice actor best known for his multiple character roles in the animated children's franchise PAW Patrol, including its feature film adaptation.
  • C. Lee R. Mayes
    Lee R. Mayes is a film producer best known for his work on the comedy movie "White Chicks."
  • D. Frank J. Urioste
    Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
  • E. Isaac M. Gomez
    Isaac M. Gomez was one of the early New York financiers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb108fc0819080c8f41da2e558e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563e11708190abc9ba55b1be43a5 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.