Triple
T18186522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Rice |
E435428
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Norman Blake |
—
|
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: Norman Blake | Statement: [Tony Rice, associatedAct, Norman Blake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Blake Context triple: [Tony Rice, associatedAct, Norman Blake]
-
A.
Norman Blake
chosen
Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
-
B.
Norman Rogers
Norman Rogers, better known as Terminator X, is an American DJ and producer best known for his work with the influential hip hop group Public Enemy.
-
C.
Norman Hammond
Norman Hammond is a prominent British archaeologist and Mayanist scholar known for his extensive excavations and research on ancient Maya sites in Belize and elsewhere in Mesoamerica.
-
D.
Norman Pike
Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
-
E.
Norman Gay
Norman Gay is a film editor best known for his work on the classic horror movie "The Exorcist."
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffe9e8081909c6bff40bbd279d2 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.