Triple
T30157645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York house music scene |
E766565
|
entity |
| Predicate | influencedByProducer |
P87217
|
FINISHED |
| Object | Masters at Work |
—
|
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: Masters at Work | Statement: [New York house music scene, influencedByProducer, Masters at Work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByProducer Context triple: [New York house music scene, influencedByProducer, Masters at Work]
-
A.
wereInfluencedBy
chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
B.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
C.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
D.
isProducedFrom
Indicates that something is created, generated, or derived from a specified source or input.
-
E.
influencedWorkType
Indicates that one work has affected or shaped the type, category, or form of another work.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 29, 2026, 7:21 p.m.