Triple
T6806249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther Allison |
E156312
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Bernard Allison |
E629219
|
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: Bernard Allison | Statement: [Luther Allison, influenced, Bernard Allison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Allison Context triple: [Luther Allison, influenced, Bernard Allison]
-
A.
Bernard Allison
chosen
Bernard Allison is an American blues guitarist, singer, and bandleader known for carrying on the modern electric blues legacy of his father, Luther Allison.
-
B.
Bernard Fowler
Bernard Fowler is an American singer, songwriter, and producer best known for his longtime work as a backing vocalist for The Rolling Stones and numerous other rock and funk artists.
-
C.
Bernard Hart
Bernard Hart was an early American financier and broker known for being among the original founders of what became the New York Stock Exchange.
-
D.
Bernard Gribble
Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
-
E.
Bernard Comrie
Bernard Comrie is a prominent linguist known for his influential work in language typology, universals, and the study of tense and aspect across languages.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d3082dcc8190a84bc056236cc52e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7582b5a0c819085e6b8d07d6ab2f7 |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:16 p.m.