Triple
T18831097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Hour |
E460529
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | J. T. Harding |
—
|
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: J. T. Harding | Statement: [Happy Hour, hasContributor, J. T. Harding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. T. Harding Context triple: [Happy Hour, hasContributor, J. T. Harding]
-
A.
J. T. Harding
chosen
J. T. Harding is an American country music songwriter known for penning hits for artists such as Kenny Chesney, Keith Urban, and Uncle Kracker.
-
B.
Frank Hartnett
Frank Hartnett is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the Hartnett surname.
-
C.
Glen Hardin
Glen Hardin is an American pianist and arranger best known for his work with Elvis Presley’s TCB Band and influential contributions to rock and country music.
-
D.
Joseph McHardy
Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
-
E.
J. T. Walsh
J. T. Walsh was an American character actor known for his intense, often villainous roles in numerous films of the 1980s and 1990s.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.