Triple

T20949630
Position Surface form Disambiguated ID Type / Status
Subject Batman: Year One (film) E515943 entity
Predicate featuresVoiceActor P39669 FINISHED
Object Jeff Bennett 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: Jeff Bennett | Statement: [Batman: Year One (film), featuresVoiceActor, Jeff Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Bennett
Context triple: [Batman: Year One (film), featuresVoiceActor, Jeff Bennett]
  • A. Jeff Bennett chosen
    Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
  • B. Richard Schaal
    Richard Schaal was an American character actor known for his work in television comedies such as "The Mary Tyler Moore Show" and "The Dick Van Dyke Show."
  • C. 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."
  • D. Brian Fee
    Brian Fee is an American storyboard artist and film director best known for making his directorial debut with Pixar's animated feature "Cars 3."
  • E. John Kassir
    John Kassir is an American actor and comedian best known for voicing the Crypt Keeper in the HBO series "Tales from the Crypt."
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadc08148190b4ff710f94462a26 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:18 p.m.