Triple
T31300535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey Stephen |
E798202
|
entity |
| Predicate | hasRerecordedVersion |
P151096
|
FINISHED |
| Object | Hey Stephen (Taylor’s Version) |
—
|
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: Hey Stephen (Taylor’s Version) | Statement: [Hey Stephen, hasRerecordedVersion, Hey Stephen (Taylor’s Version)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRerecordedVersion Context triple: [Hey Stephen, hasRerecordedVersion, Hey Stephen (Taylor’s Version)]
-
A.
hasRe-recording
chosen
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.
recordedOriginalVersionOf
Indicates that one entity captured or produced the first or initial version of another entity in a recording.
-
D.
hasMultipleRecordings
Indicates that the same work, performance, or item exists in more than one distinct recorded version.
-
E.
hasReRecordingCredit
Indicates that an entity is credited for re-recording existing audio or musical material associated with another 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0127c36dc08190b07765756b3d0e1b |
completed | May 11, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_6a0125ef57208190be5b5e761fcae981 |
completed | May 11, 2026, 12:42 a.m. |
Created at: April 29, 2026, 9:14 p.m.