Triple
T18503118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Not Tonight (Ladies Night Remix) |
E452128
|
entity |
| Predicate | allFemaleCollaboration |
P131916
|
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: [Not Tonight (Ladies Night Remix), allFemaleCollaboration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allFemaleCollaboration Context triple: [Not Tonight (Ladies Night Remix), allFemaleCollaboration, true]
-
A.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
D.
femaleMass
Indicates that the subject has a mass value specifically associated with its female form or female population.
-
E.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.