Triple

T5443444
Position Surface form Disambiguated ID Type / Status
Subject Starscream E122190 entity
Predicate voiceActor P1507 FINISHED
Object Tom Kenny E285270 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: Tom Kenny | Statement: [Starscream, voiceActor, Tom Kenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Kenny
Context triple: [Starscream, voiceActor, Tom Kenny]
  • A. Tom Kenny chosen
    Tom Kenny is an American voice actor and comedian best known for voicing the title character in the animated series "SpongeBob SquarePants."
  • B. Maurice LaMarche
    Maurice LaMarche is a Canadian-American voice actor renowned for his work in animation and video games, including iconic roles such as The Brain in "Pinky and the Brain."
  • C. Jeff Bennett
    Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
  • D. Paul Reubens
    Paul Reubens was an American actor, comedian, and writer best known for creating and portraying the eccentric character Pee-wee Herman in television, film, and stage productions.
  • E. Frank Welker
    Frank Welker is a prolific American voice actor renowned for his work in animation and film, including iconic roles in series like "Scooby-Doo" and "Transformers."
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41302d588190afa5906d0e3dd891 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.