Triple

T9872864
Position Surface form Disambiguated ID Type / Status
Subject John Ratzenberger E240000 entity
Predicate name P16 FINISHED
Object John Ratzenberger E240000 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: John Ratzenberger | Statement: [John Ratzenberger, name, John Ratzenberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ratzenberger
Context triple: [John Ratzenberger, name, John Ratzenberger]
  • A. John Ratzenberger chosen
    John Ratzenberger is an American actor and voice actor best known for his role as Cliff Clavin on "Cheers" and for voicing characters in numerous Pixar animated films.
  • B. George Wendt
    George Wendt is an American actor best known for playing the lovable bar regular Norm Peterson on the classic sitcom "Cheers."
  • C. Frank Cady
    Frank Cady was an American character actor best known for playing the genial storekeeper Sam Drucker on the television series Green Acres, Petticoat Junction, and The Beverly Hillbillies.
  • D. Don Hartman
    Don Hartman was an American screenwriter, director, and producer best known for his work on classic Hollywood comedies and musicals in the 1930s and 1940s.
  • E. John Ritter
    John Ritter was an American actor and comedian best known for his role as Jack Tripper on the hit sitcom "Three's Company."
  • 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_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.