Triple

T3777088
Position Surface form Disambiguated ID Type / Status
Subject PAW Patrol: The Movie E83332 entity
Predicate voiceCastMember P9616 FINISHED
Object Randall Park E274675 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: Randall Park | Statement: [PAW Patrol: The Movie, voiceCastMember, Randall Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randall Park
Context triple: [PAW Patrol: The Movie, voiceCastMember, Randall Park]
  • A. Randall Park chosen
    Randall Park is an American actor, comedian, writer, and director known for roles in projects like "Fresh Off the Boat," "Always Be My Maybe," and the Marvel Cinematic Universe.
  • B. Jesse Carmichael
    Jesse Carmichael is an American musician best known as the keyboardist and rhythm guitarist for the pop rock band Maroon 5.
  • C. Lakeith Stanfield
    Lakeith Stanfield is an American actor known for his versatile performances in films like "Sorry to Bother You," "Judas and the Black Messiah," and the TV series "Atlanta."
  • D. Mike Epps
    Mike Epps is an American stand-up comedian and actor known for his roles in films like the "Friday" series and numerous comedy specials.
  • E. Lil Rel Howery
    Lil Rel Howery is an American comedian and actor best known for his breakout role in the horror film "Get Out" and his work in stand-up comedy and television.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.