Triple
T23478087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancer with Bruised Knees |
E570323
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Joe Boyd |
—
|
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: Joe Boyd | Statement: [Dancer with Bruised Knees, producer, Joe Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Boyd Context triple: [Dancer with Bruised Knees, producer, Joe Boyd]
-
A.
Joe Boyd
chosen
Joe Boyd is an American record producer and music executive known for his influential work with folk, rock, and world music artists in the 1960s and beyond.
-
B.
Joe Boyd
Joe Boyd is the middle-aged baseball fan in the musical "Damn Yankees" who sells his soul to the Devil to help his beloved Washington Senators defeat the New York Yankees.
-
C.
George Richey
George Richey was an American country music songwriter, producer, and manager known for his work in Nashville and his long association with major country artists.
-
D.
Walter Boyd
Walter Boyd is a former Jamaican international footballer best known for his prolific goal-scoring and charismatic playing style as a forward in the 1990s and early 2000s.
-
E.
Ernest Young
Ernest Young is a prominent American constitutional law scholar and professor at Duke University School of Law.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:02 p.m.