Triple

T20583610
Position Surface form Disambiguated ID Type / Status
Subject Betsy (Elizabeth) Leeper McKinney E505725 entity
Predicate familyName P18 FINISHED
Object McKinney 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: McKinney | Statement: [Betsy (Elizabeth) Leeper McKinney, familyName, McKinney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McKinney
Context triple: [Betsy (Elizabeth) Leeper McKinney, familyName, McKinney]
  • A. McKinney chosen
    McKinney is a surname of Scottish and Irish origin borne by various notable individuals, including American politician and activist Cynthia McKinney.
  • B. McKinney, Texas
    McKinney, Texas is a rapidly growing suburban city in North Texas known for its historic downtown and high quality of life within the greater Dallas–Fort Worth area.
  • C. Crosbyton
    Crosbyton is a small rural city in West Texas that serves as the administrative and commercial hub of Crosby County.
  • D. Forney
    Forney is a surname of German origin borne by various notable individuals, including engineers, politicians, and artists.
  • E. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a974ee4c819099310b46885a5597 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.