Triple
T37055443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar (Remix) feat. Nicki Minaj |
E917167
|
entity |
| Predicate | tempoRelationToOriginal |
P164230
|
FINISHED |
| Object | similar tempo to Sugar (original) |
—
|
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: similar tempo to Sugar (original) | Statement: [Sugar (Remix) feat. Nicki Minaj, tempoRelationToOriginal, similar tempo to Sugar (original)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tempoRelationToOriginal Context triple: [Sugar (Remix) feat. Nicki Minaj, tempoRelationToOriginal, similar tempo to Sugar (original)]
-
A.
temporalRelation
Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
-
B.
tempoRelationToStudioVersion
chosen
Indicates the relationship between the tempo of a given performance or version and the tempo of its corresponding studio recording.
-
C.
toneComparedToMainTimeline
Indicates how the tone of an event, scene, or narrative element differs from or aligns with that of the main timeline.
-
D.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
E.
relationshipToOriginalReleases
Indicates how something (such as a version, edition, or adaptation) is related to the original releases from which it derives.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.