Triple

T7643691
Position Surface form Disambiguated ID Type / Status
Subject Scar E173069 entity
Predicate portrayedBy P1507 FINISHED
Object Jim Cummings E281653 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: Jim Cummings | Statement: [Scar, portrayedBy, Jim Cummings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Cummings
Context triple: [Scar, portrayedBy, Jim Cummings]
  • A. Jim Cummings chosen
    Jim Cummings is a prolific American voice actor best known for voicing iconic animated characters such as Winnie the Pooh, Tigger, and Darkwing Duck.
  • B. 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."
  • 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. 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."
  • E. Jess Harnell
    Jess Harnell is an American voice actor best known for roles such as Wakko Warner in Animaniacs and various characters in major animated films, TV shows, and video games.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.