Triple
T17793046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay County, Oklahoma |
E444215
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
David R. Kay
David R. Kay was an early settler and prominent local figure after whom Kay County, Oklahoma, was named.
|
E1288004
|
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 R. Kay | Statement: [Kay County, Oklahoma, namedAfter, David R. Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David R. Kay Context triple: [Kay County, Oklahoma, namedAfter, David R. Kay]
-
A.
Ken Ledeen
Ken Ledeen is a technology entrepreneur and author best known for co-writing influential works on digital technology and its societal impact.
-
B.
John C. Reynolds
John C. Reynolds was a pioneering computer scientist renowned for his foundational contributions to programming language theory, including polymorphic type systems and separation logic.
-
C.
John C. Reynolds
John C. Reynolds was an early settler and prominent landowner whose contributions to the area led to the city of Reynoldsburg, Ohio being named in his honor.
-
D.
Marlan O. Scully
Marlan O. Scully is an American physicist renowned for his pioneering contributions to quantum optics and laser physics.
-
E.
Warren Berlinger
Warren Berlinger was an American character actor known for his work in film, television, and stage from the 1950s onward.
- 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 R. Kay Triple: [Kay County, Oklahoma, namedAfter, David R. Kay]
Generated description
David R. Kay was an early settler and prominent local figure after whom Kay County, Oklahoma, was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David R. Kay Target entity description: David R. Kay was an early settler and prominent local figure after whom Kay County, Oklahoma, was named.
-
A.
Ken Ledeen
Ken Ledeen is a technology entrepreneur and author best known for co-writing influential works on digital technology and its societal impact.
-
B.
John C. Reynolds
John C. Reynolds was a pioneering computer scientist renowned for his foundational contributions to programming language theory, including polymorphic type systems and separation logic.
-
C.
John C. Reynolds
John C. Reynolds was an early settler and prominent landowner whose contributions to the area led to the city of Reynoldsburg, Ohio being named in his honor.
-
D.
Marlan O. Scully
Marlan O. Scully is an American physicist renowned for his pioneering contributions to quantum optics and laser physics.
-
E.
Warren Berlinger
Warren Berlinger was an American character actor known for his work in film, television, and stage from the 1950s onward.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879859408190875835bd255e1185 |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f83ab48c81909e42e1ed75efed29 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f9af5dd08190896786ca9f8eb69f |
completed | May 12, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fa28ac0881909d9d4273ea576273 |
completed | May 12, 2026, 10 a.m. |
Created at: April 10, 2026, 10:13 a.m.