Triple

T9872889
Position Surface form Disambiguated ID Type / Status
Subject John Ratzenberger E240000 entity
Predicate voicedCharacter P2000 FINISHED
Object Hamm E237533 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: Hamm | Statement: [John Ratzenberger, voicedCharacter, Hamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamm
Context triple: [John Ratzenberger, voicedCharacter, Hamm]
  • A. Hamm
    Hamm is a city in North Rhine-Westphalia, Germany, known for its industrial heritage and strategic location in the Ruhr region.
  • B. Hamm chosen
    Hamm is the wisecracking plastic piggy bank toy from the Toy Story film series, known for his sarcastic humor and loyalty to Andy’s other toys.
  • C. Hanno the Great
    Hanno the Great was a powerful Carthaginian statesman and military leader known for his influential role in Carthage’s politics during the Punic Wars era.
  • D. Huwarin
    Huwarin is a town in present-day Syria historically noted as the place where the Umayyad caliph Yazid I died.
  • E. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f754008190abe3fe034b42908e completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d60b2f8819087f4242f36b05a49 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:37 p.m.