Triple
T14516067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say Don’t Go (Taylor’s Version) (From The Vault) |
E340521
|
entity |
| Predicate | isReRecording |
P114552
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Say Don’t Go (Taylor’s Version) (From The Vault), isReRecording, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isReRecording Context triple: [Say Don’t Go (Taylor’s Version) (From The Vault), isReRecording, true]
-
A.
isLiveRecording
Indicates that the recording was captured during a live performance or event rather than produced in a studio or through post-production.
-
B.
isStudioRecording
Indicates that the recording was made in a controlled studio environment rather than in a live or field setting.
-
C.
recordingMode
Indicates the method or configuration by which something is recorded, such as how data, audio, or video capture is performed.
-
D.
recordingState
Indicates the current status or condition of an ongoing or potential recording (e.g., whether recording is active, paused, or stopped) between entities.
-
E.
mainRecordingPeriod
Indicates the primary time span during which the recording activity took place.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6f50208190b687b505f5cd1aa2 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.