Triple
T4454707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweeter and the Monkey Man |
E97692
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Otis Wilbury |
E435492
|
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: Otis Wilbury | Statement: [Tweeter and the Monkey Man, producer, Otis Wilbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otis Wilbury Context triple: [Tweeter and the Monkey Man, producer, Otis Wilbury]
-
A.
Otis Wilbury
chosen
Otis Wilbury is the pseudonymous persona used by musician Jeff Lynne as a member of the supergroup Traveling Wilburys.
-
B.
Nathan Morris
Nathan Morris is an American R&B singer and founding member of the vocal group Boyz II Men.
-
C.
John Clarkson
John Clarkson was a British abolitionist and naval officer who played a key role in establishing the Sierra Leone colony for freed slaves in the late 18th century.
-
D.
Teddy Riley
Teddy Riley is an American singer, songwriter, and producer widely credited with pioneering the new jack swing genre that fused R&B with hip-hop.
-
E.
Jimmy Lindsey
Jimmy Lindsey is a cinematographer best known for his work on the action film "Machete."
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f79ca481909338dda9f4f7171f |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62822643c8190a0af89f2896fde3e |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.