Triple

T23442420
Position Surface form Disambiguated ID Type / Status
Subject Teddy E565438 entity
Predicate voiceActor P1507 FINISHED
Object Larry Murphy 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: Larry Murphy | Statement: [Teddy, voiceActor, Larry Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Murphy
Context triple: [Teddy, voiceActor, Larry Murphy]
  • A. Larry Murphy
    Larry Murphy is an Irish criminal infamously known as the "Beast of Baltinglass" for his conviction in a notorious 2000 kidnapping and rape case.
  • B. Larry Murphy chosen
    Larry Murphy is an American voice actor and comedian best known for voicing Teddy on the animated TV series "Bob's Burgers" and its feature film adaptation.
  • C. Larry Murphy
    Larry Murphy is a central father figure in the musical "Dear Evan Hansen," grappling with grief, emotional distance, and the complexities of family relationships.
  • D. Larry Murphy
    Larry Murphy is a Hall of Fame Canadian defenseman renowned for his offensive skill and key role on multiple Stanley Cup–winning NHL teams, including the Detroit Red Wings.
  • E. Marc Murphy
    Marc Murphy is a chef and restaurateur best known to television audiences as a longtime judge on the Food Network cooking competition show "Chopped."
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.