Triple
T36682418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half as Much |
E905718
|
entity |
| Predicate | HankWilliamsVersionGenre |
P186164
|
FINISHED |
| Object | honky-tonk |
—
|
LITERAL 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: honky-tonk | Statement: [Half as Much, HankWilliamsVersionGenre, honky-tonk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HankWilliamsVersionGenre Context triple: [Half as Much, HankWilliamsVersionGenre, honky-tonk]
-
A.
ConwayTwittyVersionGenre
Indicates that a particular version of a work performed by Conway Twitty belongs to a specific musical genre.
-
B.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
RebaMcEntireCoverGenre
Indicates that the subject is a cover version of a song performed by Reba McEntire and specifies the musical genre of that cover.
-
D.
country rock pioneer
Indicates that the subject is recognized as an early and influential originator or developer of the country rock musical style.
-
E.
BeatlesVersionGenre
Indicates that a particular version or recording of a Beatles song belongs to a specific musical genre.
- F. None of above. chosen
Provenance (4 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:12 p.m.