Triple

T13774159
Position Surface form Disambiguated ID Type / Status
Subject Return to Never Land E330955 entity
Predicate voiceCastIncludes P55263 FINISHED
Object Jeff Bennett E447710 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: Jeff Bennett | Statement: [Return to Never Land, voiceCastIncludes, Jeff Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Bennett
Context triple: [Return to Never Land, voiceCastIncludes, 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. 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. 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."
  • D. 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."
  • E. Brian Posehn
    Brian Posehn is an American stand-up comedian, actor, and writer known for his deadpan delivery and roles in shows like "Mr. Show," "The Sarah Silverman Program," and various voice performances in animation.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d4af2081909628c1691e073f6f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:10 p.m.