Triple

T9954287
Position Surface form Disambiguated ID Type / Status
Subject Chief Wiggum E195406 entity
Predicate voiceActor P1507 FINISHED
Object Hank Azaria E122444 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: Hank Azaria | Statement: [Chief Wiggum, voiceActor, Hank Azaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hank Azaria
Context triple: [Chief Wiggum, voiceActor, Hank Azaria]
  • A. Hank Azaria chosen
    Hank Azaria is an American actor, comedian, and voice artist best known for voicing numerous characters on the animated television series "The Simpsons."
  • B. Will Murray
    Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
  • C. Michael Ian Black
    Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
  • D. Tony Hale
    Tony Hale is an American actor and comedian best known for his Emmy-winning roles in the television series "Arrested Development" and "Veep."
  • E. Harry Shearer
    Harry Shearer is an American actor, comedian, writer, musician, and satirist best known for his extensive voice work on "The Simpsons" and his role in the mockumentary film "This Is Spinal Tap."
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5d295908190a064fb72d65b6e24 completed April 5, 2026, 7:19 p.m.
Created at: March 30, 2026, 8:46 p.m.