Triple

T8171479
Position Surface form Disambiguated ID Type / Status
Subject Roz Doyle E190830 entity
Predicate creator P184 FINISHED
Object Peter Casey E175663 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: Peter Casey | Statement: [Roz Doyle, creator, Peter Casey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Casey
Context triple: [Roz Doyle, creator, Peter Casey]
  • A. Peter Casey chosen
    Peter Casey is an American television producer and writer best known as a co-creator of the acclaimed sitcom "Frasier."
  • B. Peter Casey
    Peter Casey is a collegiate sports administrator who has served as the athletic director for the UMass Lowell River Hawks athletic program.
  • C. Adam Scott
    Adam Scott is an American actor and comedian known for his roles in films like Step Brothers and the TV series Parks and Recreation.
  • D. Mitchell Goosen
    Mitchell Goosen is a laid-back, surfing and inline-skating teenager from California who must adapt to life with his relatives in Cincinnati in the 1993 coming-of-age sports comedy "Airborne."
  • E. Glen Austin
    Glen Austin is a residential and semi-rural suburb located within the Midrand area of Johannesburg, South Africa.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48056d0c819094575090a41e0083 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced5a4398819085364b3a45a85941 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:39 p.m.