Triple
T6585903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humble African |
E159221
|
entity |
| Predicate | hasMemberOnRecording |
P22071
|
FINISHED |
| Object | Kenneth Dayes |
E227037
|
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: Kenneth Dayes | Statement: [Humble African, hasMemberOnRecording, Kenneth Dayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Dayes Context triple: [Humble African, hasMemberOnRecording, Kenneth Dayes]
-
A.
Kenneth Dayes
chosen
Kenneth Dayes is a musician best known as a member of the Jamaican roots reggae band Culture.
-
B.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
C.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
D.
Kent Bateman
Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
-
E.
John Burnett
John Burnett is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, and academia.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a262808190a33ac94374affde4 |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7422f57848190901b31229825b9e2 |
completed | March 28, 2026, 2:51 a.m. |
Created at: March 27, 2026, 1:54 p.m.