Triple
T8337415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairborn, Ohio |
E195822
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Paul Keller
Paul Keller is an American local government official who serves as the mayor of Fairborn, Ohio.
|
E726177
|
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: Paul Keller | Statement: [Fairborn, Ohio, hasMayor, Paul Keller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Keller Context triple: [Fairborn, Ohio, hasMayor, Paul Keller]
-
A.
Philip W. Goetz
Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
D.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
-
E.
Richard Denning
Richard Denning was an American film and radio actor best known for his roles in mid-20th-century comedies and dramas, including prominent work in both radio and early television.
- 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: Paul Keller Triple: [Fairborn, Ohio, hasMayor, Paul Keller]
Generated description
Paul Keller is an American local government official who serves as the mayor of Fairborn, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Keller Target entity description: Paul Keller is an American local government official who serves as the mayor of Fairborn, Ohio.
-
A.
Philip W. Goetz
Philip W. Goetz is an American editor best known for serving as the chief editor of the 15th edition of the Encyclopaedia Britannica.
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
D.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
-
E.
Richard Denning
Richard Denning was an American film and radio actor best known for his roles in mid-20th-century comedies and dramas, including prominent work in both radio and early television.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e17300819090e405c4c60b280d |
completed | April 1, 2026, 10:02 p.m. |
| NEDg | Description generation | batch_69cdab61d00c81909ce2c0d718a2dc1a |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2ef889c8190af6efb9473f8804c |
completed | April 2, 2026, 12:06 a.m. |
Created at: March 30, 2026, 5:57 p.m.