Triple
T31315929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear John (Taylor’s Version) |
E798595
|
entity |
| Predicate | hasReRecordingProject |
P199540
|
FINISHED |
| Object | Taylor’s Version series |
—
|
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: Taylor’s Version series | Statement: [Dear John (Taylor’s Version), hasReRecordingProject, Taylor’s Version series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReRecordingProject Context triple: [Dear John (Taylor’s Version), hasReRecordingProject, Taylor’s Version series]
-
A.
hasRe-recording
Indicates that one recording is a new or updated version made again from the same original material or performance.
-
B.
hasReRecordingPurpose
Indicates that an entity is associated with a specific purpose or intent for which a recording is being re-recorded.
-
C.
isReRecording
Indicates that an existing recording is being recorded again, typically to replace, update, or improve the original version.
-
D.
hasReRecordingCredit
Indicates that an entity is credited for re-recording existing audio or musical material associated with another entity.
-
E.
partOfReRecordingProjectBy
chosen
Indicates that one recording is created as part of a broader re-recording project undertaken by a specific agent or entity.
- F. None of above.
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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
Created at: April 29, 2026, 9:15 p.m.