Triple

T21249093
Position Surface form Disambiguated ID Type / Status
Subject Terry Scott E523693 entity
Predicate name P16 FINISHED
Object Terry Scott 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: Terry Scott | Statement: [Terry Scott, name, Terry Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Scott
Context triple: [Terry Scott, name, Terry Scott]
  • A. Terry Scott chosen
    Terry Scott was a British comic actor best known for his roles in the "Carry On" film series and the television sitcom "Terry and June."
  • B. Terry Kimple
    Terry Kimple is a fictional character from the animated television series "The Cleveland Show," known as one of Cleveland Brown Jr.'s friends.
  • C. Terry Lyons
    Terry Lyons is a prominent British mathematician known for his influential work in stochastic analysis and rough path theory.
  • D. Terry Wilkerson
    Terry Wilkerson is a television producer best known for serving as an executive producer on the influential talk show "The Oprah Winfrey Show."
  • E. Terry Matterson
    Terry Matterson is a former Australian rugby league footballer and coach best known for his successful playing career in the 1980s and 1990s, including stints with the Brisbane Broncos and Castleford Tigers.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359c7a648190b4345336ac3be024 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.