Triple
T27542915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Link Up |
E695282
|
entity |
| Predicate | hasPrimaryProductionRole |
P36865
|
FINISHED |
| Object | beat production by Knxwledge |
—
|
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: beat production by Knxwledge | Statement: [Link Up, hasPrimaryProductionRole, beat production by Knxwledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryProductionRole Context triple: [Link Up, hasPrimaryProductionRole, beat production by Knxwledge]
-
A.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
B.
hasPrimaryDuty
Indicates that one entity holds the main or most important responsibility or obligation toward another entity or within a specified context.
-
C.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
hasIndustryRole
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
-
E.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:32 p.m.