Triple
T33716840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie McDowell |
E863897
|
entity |
| Predicate | hasRecordingLanguage |
—
|
GENERATED |
| Object | English |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingLanguage Context triple: [Ronnie McDowell, hasRecordingLanguage, English]
-
A.
voiceRecordingLanguage
chosen
Indicates the language in which a voice recording is spoken or produced.
-
B.
recordLanguage
Indicates that a record is created, stored, or presented in a particular language.
-
C.
hasRecordedTexts
Indicates that there exist written or otherwise recorded textual materials documenting or produced by the subject entity.
-
D.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
-
E.
hasLanguageRepresentation
Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
- F. None of above.
Provenance (1 batch)
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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:44 a.m.