Triple
T17862127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Sargent |
E446098
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sargent |
—
|
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: Sargent | Statement: [Joseph Sargent, familyName, Sargent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sargent Context triple: [Joseph Sargent, familyName, Sargent]
-
A.
Sargent
Sargent is an unincorporated community located in Coweta County, Georgia, known historically for its small-town character and local mill heritage.
-
B.
Sargent
Sargent is a masculine given name most notably borne by American diplomat and politician Sargent Shriver.
-
C.
Sargent
chosen
Sargent is a surname most notably associated with American screenwriter Alvin Sargent, known for his Academy Award–winning work in film.
-
D.
John Sargent
John Sargent is a fictional character appearing in the 1940 romantic drama film "Remember the Night."
-
E.
John Singer Sargent
John Singer Sargent was a prominent American expatriate painter of the late 19th and early 20th centuries, renowned for his virtuoso portraiture and refined, cosmopolitan style.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49790ea148190b7a966812d44f430 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.