Triple

T7747434
Position Surface form Disambiguated ID Type / Status
Subject Daphne Moon E175665 entity
Predicate employer P7 FINISHED
Object Frasier Crane E175664 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: Frasier Crane | Statement: [Daphne Moon, employer, Frasier Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frasier Crane
Context triple: [Daphne Moon, employer, Frasier Crane]
  • A. Frasier Crane chosen
    Frasier Crane is a fictional, intellectually inclined and often neurotic psychiatrist best known as the central character in the television sitcom "Frasier," originally introduced on "Cheers."
  • B. Paul Benedict
    Paul Benedict was an American character actor best known for his comedic roles on television and in film, including his portrayal of the eccentric English neighbor Harry Bentley on the sitcom "The Jeffersons."
  • C. John Larroquette
    John Larroquette is an American actor and comedian best known for his Emmy-winning role on "Night Court" and prominent performances in both television and film.
  • D. Harry Morgan
    Harry Morgan was an American character actor best known for his long-running role as Colonel Sherman T. Potter on the television series M*A*S*H and its spin-off AfterMASH.
  • E. Harry Morgan
    Harry Morgan is the tough, world-weary fishing boat captain and smuggler at the center of Ernest Hemingway’s novel and its film adaptation "To Have and Have Not."
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038caa64819084f61b42a73c2d8b completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6b95f108190a726bf4c6d77bb62 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.