Triple
T27046967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saidi Swing (reprise) |
E684663
|
entity |
| Predicate | isRecurringMotifOn |
P58011
|
FINISHED |
| Object | A Playlist Without Borders |
—
|
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: A Playlist Without Borders | Statement: [Saidi Swing (reprise), isRecurringMotifOn, A Playlist Without Borders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecurringMotifOn Context triple: [Saidi Swing (reprise), isRecurringMotifOn, A Playlist Without Borders]
-
A.
hasMirrorMotif
Indicates that one entity features a mirror-related motif or pattern in relation to another entity or context.
-
B.
hasClosingMotif
Indicates that one entity features or is associated with a recurring thematic or structural pattern used at the end or conclusion of another entity.
-
C.
repeatedMotive
Indicates that the same motive recurs multiple times within a work, sequence, or context.
-
D.
recurringSegmentOn
chosen
Indicates that one entity appears repeatedly as a regular segment or feature within another entity, such as a show, publication, or series.
-
E.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622acea248190a90c685058f42184 |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:11 a.m.