Triple
T18098196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of 1000 Dances (Wilson Pickett recording) |
E433142
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tom Dowd |
—
|
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: Tom Dowd | Statement: [Land of 1000 Dances (Wilson Pickett recording), producer, Tom Dowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Dowd Context triple: [Land of 1000 Dances (Wilson Pickett recording), producer, Tom Dowd]
-
A.
Tom Dowd
chosen
Tom Dowd was a pioneering American recording engineer and producer renowned for his innovative studio techniques and work with major artists across jazz, rock, and soul music.
-
B.
Bob Thiele
Bob Thiele was an American record producer and songwriter best known for co-writing the classic Louis Armstrong hit "What a Wonderful World."
-
C.
Herb Sendek
Herb Sendek is an American college basketball coach best known for leading programs such as North Carolina State and Arizona State University.
-
D.
Dick Siebert
Dick Siebert was a prominent American college baseball coach best known for his long and successful tenure leading the University of Minnesota Golden Gophers.
-
E.
Roy Sharman
Roy Sharman is a film editor known for his work on the 2003 adaptation of "I Capture the Castle."
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb3ef548190a322f98917b54a59 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.