Triple
T20790363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson G. Hairston Sr. |
E511756
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hairston
Hairston is a surname of Scottish and English origin that has been borne by several notable American families, including academics, politicians, and landowners.
|
E1451077
|
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: Hairston | Statement: [Nelson G. Hairston Sr., familyName, Hairston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hairston Context triple: [Nelson G. Hairston Sr., familyName, Hairston]
-
A.
Lanham
Lanham is an unincorporated community in Prince George's County, Maryland, located in the suburban Washington, D.C. metropolitan area.
-
B.
Ellsworth
Ellsworth is a given name most notably associated with the American abstract painter and sculptor Ellsworth Kelly.
-
C.
Ellsworth
Ellsworth is a small village located in northern Michigan, United States.
-
D.
Ralston
Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
-
E.
Lorton
Lorton is a small village and civil parish in Cumbria, England, situated in the scenic Lake District near the town of Cockermouth.
- 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: Hairston Triple: [Nelson G. Hairston Sr., familyName, Hairston]
Generated description
Hairston is a surname of Scottish and English origin that has been borne by several notable American families, including academics, politicians, and landowners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hairston Target entity description: Hairston is a surname of Scottish and English origin that has been borne by several notable American families, including academics, politicians, and landowners.
-
A.
Lanham
Lanham is an unincorporated community in Prince George's County, Maryland, located in the suburban Washington, D.C. metropolitan area.
-
B.
Ellsworth
Ellsworth is a given name most notably associated with the American abstract painter and sculptor Ellsworth Kelly.
-
C.
Ellsworth
Ellsworth is a small village located in northern Michigan, United States.
-
D.
Ralston
Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
-
E.
Lorton
Lorton is a small village and civil parish in Cumbria, England, situated in the scenic Lake District near the town of Cockermouth.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c29010508190bf2cf577d7f64754 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8bc76508190b65a105fcd4decd1 |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9c9314c81909052d1a2e93d740a |
completed | May 16, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fa7040d88190b592d4f46249c2c1 |
completed | May 16, 2026, 11:14 p.m. |
Created at: April 16, 2026, 12:38 p.m.