Triple
T20408119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under My Skin |
E500522
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Gilmore |
—
|
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: Don Gilmore | Statement: [Under My Skin, producer, Don Gilmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Gilmore Context triple: [Under My Skin, producer, Don Gilmore]
-
A.
Don Gilmore
chosen
Don Gilmore is a music producer known for his work with prominent rock and alternative bands, shaping the sound of numerous successful albums.
-
B.
Gilmor Brown
Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
-
C.
Ron Gilmore
Ron Gilmore is a music producer best known for his work on J. Cole’s critically acclaimed album "2014 Forest Hills Drive."
-
D.
Asa Biggs
Asa Biggs was a 19th-century American politician from North Carolina who served as a U.S. Representative, U.S. Senator, and later a federal judge.
-
E.
Frank Trigg
Frank Trigg is an American mixed martial artist and former UFC welterweight title challenger known for his high-profile bouts in the early 2000s.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.