Triple
T31315514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Moment I Knew (Taylor’s Version) |
E798583
|
entity |
| Predicate | hasReRecordedTagline |
P113853
|
FINISHED |
| Object | 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: Taylor’s Version | Statement: [The Moment I Knew (Taylor’s Version), hasReRecordedTagline, Taylor’s Version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReRecordedTagline Context triple: [The Moment I Knew (Taylor’s Version), hasReRecordedTagline, Taylor’s Version]
-
A.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
B.
hasRe-recording
Indicates that one recording is a new or updated version made again from the same original material or performance.
-
C.
hasRecordedTexts
Indicates that there exist written or otherwise recorded textual materials documenting or produced by the subject entity.
-
D.
hasIconicLine
Indicates that an entity (such as a work or character) is associated with a particularly famous or memorable line of dialogue.
-
E.
taglineMatch
chosen
Indicates that two entities share the same tagline or that a tagline corresponds to a given 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_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
Created at: April 29, 2026, 9:15 p.m.