Triple
T2457181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braxton Bragg |
E54449
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Braxton
Braxton is a masculine given name of English origin that has gained popularity in the United States in recent decades.
|
E268827
|
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: Braxton | Statement: [Braxton Bragg, givenName, Braxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braxton Context triple: [Braxton Bragg, givenName, Braxton]
-
A.
Santee Smith
Santee Smith is a Mohawk artist, dancer, and choreographer from Six Nations of the Grand River, renowned for her Indigenous-centered performance work and leadership in the arts and education.
-
B.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
C.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
-
D.
Brooke
Brooke is an English surname most famously associated with Rupert Brooke, the early 20th-century poet known for his idealistic war sonnets.
-
E.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
- 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: Braxton Triple: [Braxton Bragg, givenName, Braxton]
Generated description
Braxton is a masculine given name of English origin that has gained popularity in the United States in recent decades.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Braxton Target entity description: Braxton is a masculine given name of English origin that has gained popularity in the United States in recent decades.
-
A.
Santee Smith
Santee Smith is a Mohawk artist, dancer, and choreographer from Six Nations of the Grand River, renowned for her Indigenous-centered performance work and leadership in the arts and education.
-
B.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
C.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
-
D.
Brooke
Brooke is an English surname most famously associated with Rupert Brooke, the early 20th-century poet known for his idealistic war sonnets.
-
E.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd106f4608190ae17ddbd24fad97e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ca655c81908612983ced5f5786 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef50bc7ac8190add8ee63c5621dc1 |
completed | March 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6342d5481908abf683f8e3f80ae |
completed | March 9, 2026, 4:32 p.m. |
Created at: March 6, 2026, 9:44 p.m.