Triple
T17482718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacqueline K. Barton |
E425703
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barton |
—
|
NE NERFINISHED |
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: Barton | Statement: [Jacqueline K. Barton, familyName, Barton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barton Context triple: [Jacqueline K. Barton, familyName, Barton]
-
A.
Barton
Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
-
B.
Barton
Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
-
C.
Barton
Barton is a small village and civil parish located in the South Cambridgeshire district of Cambridgeshire, England.
-
D.
Barton
chosen
Barton is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
E.
Barton
Barton is a district within the City of Salford in Greater Manchester, England, forming part of the Salford and Eccles parliamentary constituency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451c0db14819098922453131fb40a |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.