Triple
T15959866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Thomas King |
E387029
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | Delta blues |
E124977
|
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: Delta blues | Statement: [Chris Thomas King, genre, Delta blues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta blues Context triple: [Chris Thomas King, genre, Delta blues]
-
A.
Blues
Blues is a professional rugby union team based in Auckland, New Zealand, that competes in the Super Rugby competition.
-
B.
Blues
Blues is the common nickname for Birmingham City Football Club, an English professional football team based in Birmingham.
-
C.
Blues
The Blues were one of the major chariot-racing factions of the Byzantine Empire, known for their intense rivalry with the Greens and significant influence on the political and social life of Constantinople.
-
D.
Blues
Blues is a Finnish professional ice hockey team based in Espoo that competed in the country’s top-tier league.
-
E.
Blues
chosen
Blues is a genre of music characterized by expressive melodies, blue notes, and themes of hardship and emotion that originated in African American communities in the Deep South of the United States.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fe82d081908b5d41bc5a709de2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe806ef4819095a4dfe104d0bdc8 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.