Triple
T7478462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Are My Sunshine |
E176688
|
entity |
| Predicate | notableRecordingArtist |
P21110
|
FINISHED |
| Object | Norman Blake |
E435429
|
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: Norman Blake | Statement: [You Are My Sunshine, notableRecordingArtist, Norman Blake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Blake Context triple: [You Are My Sunshine, notableRecordingArtist, 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 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.
-
C.
Norman Gay
Norman Gay is a film editor best known for his work on the classic horror movie "The Exorcist."
-
D.
Norman Phillips
Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
-
E.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f13f548190a8cc59165735b30e |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c655fcc8190a23d8dd69a70431c |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:42 p.m.