Triple
T21170616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carter Braxton |
E521680
|
entity |
| Predicate | grandfather |
P979
|
FINISHED |
| Object | George Braxton Sr. |
—
|
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: George Braxton Sr. | Statement: [Carter Braxton, grandfather, George Braxton Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Braxton Sr. Context triple: [Carter Braxton, grandfather, George Braxton Sr.]
-
A.
George Braxton Jr.
chosen
George Braxton Jr. was an 18th-century Virginia planter, merchant, and politician from a prominent colonial family.
-
B.
Elkanah Brown
Elkanah Brown is known as the spouse of American actor Robert Culp.
-
C.
Wallace Grissell
Wallace Grissell was a mid-20th-century film editor and director known for his work on Westerns and adventure films.
-
D.
William Brinkley
William Brinkley was an American novelist and journalist best known for his satirical World War II naval novel "Don't Go Near the Water" and the post-apocalyptic submarine thriller "The Last Ship."
-
E.
Philemon Dickerson
Philemon Dickerson was a 19th-century American politician who served as Governor of New Jersey and a U.S. Representative.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.