Triple
T3571481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown County, Wisconsin |
E75580
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jacob Brown |
E251612
|
NE FINISHED |
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: Jacob Brown | Statement: [Brown County, Wisconsin, namedAfter, Jacob Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Brown Context triple: [Brown County, Wisconsin, namedAfter, Jacob Brown]
-
A.
Jacob Brown
chosen
Jacob Brown was a prominent U.S. Army general in the War of 1812, noted for his leadership and tactical skill in major engagements against British forces.
-
B.
Austin Brown
Austin Brown is an American singer-songwriter and producer, and the son of Rebbie Jackson from the Jackson musical family.
-
C.
David Debrandon Brown
David Debrandon Brown is the American singer, songwriter, and R&B artist professionally known as Lucky Daye.
-
D.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
E.
Mark Brown
Mark Brown is an American filmmaker and screenwriter best known for writing and directing the romantic comedy film "Two Can Play That Game."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c32624819097a96b3d62e3d8f0 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43301c2d8819089ee18732c1df29d |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:21 p.m.