Triple
T17790565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin Broun Fred |
E444147
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Broun |
—
|
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: Broun | Statement: [Edwin Broun Fred, middleName, Broun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broun Context triple: [Edwin Broun Fred, middleName, Broun]
-
A.
Broun
chosen
Broun is an alternative spelling or variant of the surname "Brown," commonly found in historical and regional records.
-
B.
Heflin
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
-
C.
Vance
Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
-
D.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
-
E.
Vance
Vance is a small town in Alabama, United States, known primarily for hosting the Mercedes-Benz U.S. International manufacturing plant.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.