Triple

T6252274
Position Surface form Disambiguated ID Type / Status
Subject Finney County, Kansas E140074 entity
Predicate namedFor P63 FINISHED
Object David Wesley Finney
David Wesley Finney was a 19th-century American politician from Kansas after whom Finney County was named.
 E579646 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: David Wesley Finney | Statement: [Finney County, Kansas, namedFor, David Wesley Finney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Wesley Finney
Context triple: [Finney County, Kansas, namedFor, David Wesley Finney]
  • A. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • B. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • C. Charles Rackoff
    Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
  • D. Robert Bell
    Robert Bell is an individual known primarily as the husband of Lily Bell.
  • E. David Anspaugh
    David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
  • 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: David Wesley Finney
Triple: [Finney County, Kansas, namedFor, David Wesley Finney]
Generated description
David Wesley Finney was a 19th-century American politician from Kansas after whom Finney County was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Wesley Finney
Target entity description: David Wesley Finney was a 19th-century American politician from Kansas after whom Finney County was named.
  • A. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • B. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • C. Charles Rackoff
    Charles Rackoff is a Canadian computer scientist known for his influential work in cryptography and computational complexity theory.
  • D. Robert Bell
    Robert Bell is an individual known primarily as the husband of Lily Bell.
  • E. David Anspaugh
    David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c244240b448190be3645177194ced6 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c2756cf5c88190aed2c5e0916082e7 completed March 24, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69c275d913cc8190be3770f12c271226 completed March 24, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:24 p.m.