Triple
T6743051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Yancey |
E154135
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Jaylib |
E406395
|
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: Jaylib | Statement: [James Yancey, associatedAct, Jaylib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaylib Context triple: [James Yancey, associatedAct, Jaylib]
-
A.
Jaylib
chosen
Jaylib is a hip hop duo consisting of producers/rappers J Dilla and Madlib, known for their influential collaborative album "Champion Sound."
-
B.
Jamz
Jamz is a studio album by Ghanaian rapper Sarkodie that blends Afrobeats and hip-hop influences and features collaborations with several prominent African artists.
-
C.
Jussy
Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
-
D.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
E.
Jay
Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.