Triple

T15973468
Position Surface form Disambiguated ID Type / Status
Subject PAW Patrol: The Mighty Movie E387379 entity
Predicate voiceCastMember P9616 FINISHED
Object Ron Pardo E395337 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: Ron Pardo | Statement: [PAW Patrol: The Mighty Movie, voiceCastMember, Ron Pardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Pardo
Context triple: [PAW Patrol: The Mighty Movie, voiceCastMember, Ron Pardo]
  • A. Ron Pardo chosen
    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.
  • B. Wally Berger
    Wally Berger was an American Major League Baseball center fielder best known as a power hitter for the Boston Braves in the 1930s.
  • C. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • D. Mike Repole
    Mike Repole is an American entrepreneur and investor best known as the co-founder of Vitaminwater and BodyArmor sports drink, and as a prominent figure in the beverage industry and thoroughbred horse racing.
  • E. Ward Poulos
    Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c76c988190a2f2bb4b6ac5ef25 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.