Triple
T22727518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Brownell |
E562035
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brownell |
—
|
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: Brownell | Statement: [Brad Brownell, familyName, Brownell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brownell Context triple: [Brad Brownell, familyName, Brownell]
-
A.
Brownell
chosen
Brownell is an English-language surname borne by various notable individuals, including figures in religion, politics, and academia.
-
B.
Lovell
Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
-
C.
Beverle
Beverle "Bebe" Buell is an American model, singer, and former fashion icon known for her work in the 1970s and her connections to prominent rock musicians.
-
D.
Monrow
Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
-
E.
Southworth
Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792b22cc819099aa00bb2dbacce3 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.