Triple

T6527465
Position Surface form Disambiguated ID Type / Status
Subject Andrew Rannells E151340 entity
Predicate voiceRole P12691 FINISHED
Object Matthew in Big Mouth E396042 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: Matthew in Big Mouth | Statement: [Andrew Rannells, voiceRole, Matthew in Big Mouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew in Big Mouth
Context triple: [Andrew Rannells, voiceRole, Matthew in Big Mouth]
  • A. Big Mouth chosen
    Big Mouth is an animated coming-of-age comedy series on Netflix that humorously and candidly explores the awkwardness of puberty and adolescence.
  • B. Bizaardvark
    Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
  • C. Fionna and Cake
    Fionna and Cake is an animated spin-off series from Adventure Time that follows gender-swapped versions of Finn and Jake on surreal, multiverse-spanning adventures.
  • D. Big Fat Liar
    Big Fat Liar is a 2002 family comedy film about a teenager who seeks revenge on a Hollywood producer who stole his story and turned it into a hit movie.
  • E. Quick Draw McGraw
    Quick Draw McGraw is a classic Hanna-Barbera cartoon character, a dimwitted but well-meaning anthropomorphic horse who works as a sheriff in comedic Western adventures.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52a642c8190a50988f3faf61d39 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.