Triple

T16993728
Position Surface form Disambiguated ID Type / Status
Subject Spies in Disguise E412260 entity
Predicate producer P490 FINISHED
Object Michael J. Travers 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: Michael J. Travers | Statement: [Spies in Disguise, producer, Michael J. Travers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael J. Travers
Context triple: [Spies in Disguise, producer, Michael J. Travers]
  • A. Michael J. Travers chosen
    Michael J. Travers is a film producer best known for his work on animated features, including serving as a producer on *The Peanuts Movie*.
  • B. Michael R. Quinlan
    Michael R. Quinlan is an American business executive and Loyola University Chicago alumnus best known for serving as CEO and chairman of McDonald’s Corporation.
  • C. Michael J. Pierson
    Michael J. Pierson is an individual notable enough to be specifically cited as a namesake or distinguished bearer of the surname Pierson.
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Michael J. Weithorn
    Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
Created at: April 10, 2026, 5:32 a.m.