Triple
T388283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton W. Stone |
E8824
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Barton
Barton is a masculine given name of English origin, historically borne by figures such as American Restoration Movement leader Barton W. Stone.
|
E5459
|
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: Barton | Statement: [Barton W. Stone, givenName, Barton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barton Context triple: [Barton W. Stone, givenName, 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.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
C.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
McDouglas
McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
- 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: Barton Triple: [Barton W. Stone, givenName, Barton]
Generated description
Barton is a masculine given name of English origin, historically borne by figures such as American Restoration Movement leader Barton W. Stone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barton Target entity description: Barton is a masculine given name of English origin, historically borne by figures such as American Restoration Movement leader Barton W. Stone.
-
A.
Barton
chosen
Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
-
B.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
C.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
McDouglas
McDouglas is a less common Scottish-derived surname variant of Douglas, typically indicating "son of Douglas."
- F. None of above.
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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5988708190aa86d9460cecf050 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ad425a881909eea63c64a683c0f |
completed | March 1, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69a40b2db7708190a7b0dfb448310ae6 |
completed | March 1, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40ba273888190b3923d6f5efefd2a |
completed | March 1, 2026, 9:49 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.