Triple
T6856056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raiders |
E158145
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Tim Brown |
E158149
|
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: Tim Brown | Statement: [Raiders, notablePlayer, Tim Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Brown Context triple: [Raiders, notablePlayer, Tim Brown]
-
A.
Tim Brown
chosen
Tim Brown is a Pro Football Hall of Fame wide receiver best known for his long, prolific NFL career primarily with the Raiders.
-
B.
Albert Joseph Brown III
Albert Joseph Brown III, better known as Al B. Sure!, is an American R&B singer, songwriter, and record producer who rose to fame in the late 1980s as a key figure in the new jack swing era.
-
C.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
D.
Ryan Brown
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
E.
Timothy “Tee” Brown
Timothy “Tee” Brown is a music producer best known for his work on the Kanye West track “Use This Gospel.”
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d86f03ac8190b4307156ab65a276 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fe28dc88190a9c7794b78374ecf |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:20 p.m.