Triple

T7273665
Position Surface form Disambiguated ID Type / Status
Subject Holt Richter E161167 entity
Predicate oftenSeenWith P3100 FINISHED
Object Terry Kimple E222814 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: Terry Kimple | Statement: [Holt Richter, oftenSeenWith, Terry Kimple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Kimple
Context triple: [Holt Richter, oftenSeenWith, Terry Kimple]
  • A. Terry Kimple chosen
    Terry Kimple is a fictional character from the animated television series "The Cleveland Show," known as one of Cleveland Brown Jr.'s friends.
  • B. Terry Kiser
    Terry Kiser is an American actor best known for his comedic role as the titular corpse in the cult film "Weekend at Bernie's" and its sequel.
  • C. Terry Scott
    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."
  • 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 Lyons
    Terry Lyons is a prominent British mathematician known for his influential work in stochastic analysis and rough path theory.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a80bb48190bd4c9013764345f4 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:58 p.m.