Triple

T2802520
Position Surface form Disambiguated ID Type / Status
Subject Johnson County, Texas E53178 entity
Predicate namedFor P63 FINISHED
Object Middleton Tate Johnson E300391 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: Middleton Tate Johnson | Statement: [Johnson County, Texas, namedFor, Middleton Tate Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middleton Tate Johnson
Context triple: [Johnson County, Texas, namedFor, Middleton Tate Johnson]
  • A. Middleton Tate Johnson chosen
    Middleton Tate Johnson was a 19th-century Texas politician, military officer, and early settler influential in the development of North Texas.
  • B. Carr Bowers McClenny
    Carr Bowers McClenny was a prominent local figure and landowner after whom the city of Macclenny, Florida, was named.
  • C. Berrien Kinnard Upshaw
    Berrien Kinnard Upshaw was the first husband of American novelist Margaret Mitchell, best known as the author of "Gone with the Wind."
  • D. Eunice Bridge Downing
    Eunice Bridge Downing was the mother of influential 19th-century American landscape designer and writer Andrew Jackson Downing.
  • E. Prentiss M. Brown
    Prentiss M. Brown was an American Democratic politician and U.S. Senator from Michigan who played a key role in federal economic regulation during World War II.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce92b40c8190a6ed3e6c06f15c79 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:58 p.m.