Triple
T27877640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krush Groove: Original Motion Picture Soundtrack |
E704990
|
entity |
| Predicate | featuresLabel |
P148292
|
FINISHED |
| Object | Def Jam Recordings artists |
—
|
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: Def Jam Recordings artists | Statement: [Krush Groove: Original Motion Picture Soundtrack, featuresLabel, Def Jam Recordings artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLabel Context triple: [Krush Groove: Original Motion Picture Soundtrack, featuresLabel, Def Jam Recordings artists]
-
A.
labelFeatures
chosen
Indicates assigning descriptive tags or identifiers to specific features or attributes of an entity.
-
B.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
C.
featuresRepresentationOf
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another entity.
-
D.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
-
E.
featuresAlias
Indicates that one entity is used as an alternative name or label (an alias) for 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 27, 2026, 6:28 p.m.