Triple

T3803371
Position Surface form Disambiguated ID Type / Status
Subject Kegley, West Virginia E91742 entity
Predicate hasName P744 FINISHED
Object Kegley
Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
E391128 NE FINISHED

How this triple was built (4 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: Kegley | Statement: [Kegley, West Virginia, hasName, Kegley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kegley
Context triple: [Kegley, West Virginia, hasName, Kegley]
  • A. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • B. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • C. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • D. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • E. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kegley
Triple: [Kegley, West Virginia, hasName, Kegley]
Generated description
Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kegley
Target entity description: Kegley is an unincorporated community located in Mercer County, West Virginia, United States.
  • A. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • B. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • C. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • D. McCauley
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • E. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • F. None of above. chosen

Provenance (5 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb270b008190bbd87cbddacb7204 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fcb41dac8190ad127d0c23bef877 completed March 14, 2026, 6:14 a.m.
NED2 Entity disambiguation (via description) batch_69b4fdd7201c819087e710ad64216fc5 completed March 14, 2026, 6:19 a.m.
Created at: March 9, 2026, 3:15 p.m.