Triple
T14277971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Aaron Brown |
E353962
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roger Aaron Brown |
E353962
|
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: Roger Aaron Brown | Statement: [Roger Aaron Brown, name, Roger Aaron Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Aaron Brown Context triple: [Roger Aaron Brown, name, Roger Aaron Brown]
-
A.
Roger Aaron Brown
chosen
Roger Aaron Brown is an American character actor known for his extensive work in film and television, including prominent roles in crime and drama series.
-
B.
Andrew Brown
Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
-
C.
André Brown
André Brown, better known as Doctor Dré, is an American radio personality, DJ, and former Yo! MTV Raps co-host influential in bringing hip hop to mainstream television audiences.
-
D.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
E.
Ryan Brown
Ryan Brown is a comic book colorist known for his work on the supernatural action series *The Tower Chronicles*.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6585270c8190a717127b2f5dab3b |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1884f481908ea266c1651c4b59 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:10 a.m.