Triple
T24065649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Busy |
E596079
|
entity |
| Predicate | producerAlias |
P154725
|
FINISHED |
| Object | Steven "Lenky" Marsden |
—
|
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: Steven "Lenky" Marsden | Statement: [Get Busy, producerAlias, Steven "Lenky" Marsden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producerAlias Context triple: [Get Busy, producerAlias, Steven "Lenky" Marsden]
-
A.
producerName
Indicates that the associated value is the name of the producer responsible for creating or manufacturing the referenced entity.
-
B.
producerOnLabel
Indicates that a producer is credited on or associated with a particular record label.
-
C.
creatorAlias
Indicates that an alternative or secondary name is used to refer to the creator of an entity.
-
D.
producerOfWork
Indicates that one entity is the creator or originator responsible for producing a particular work.
-
E.
producerRole
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5aa1a48190afec72bbcfd379c3 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:40 p.m.