Triple
T25749137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine |
E648423
|
entity |
| Predicate | productionInfluence |
P152735
|
FINISHED |
| Object | West Coast-influenced production |
—
|
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: West Coast-influenced production | Statement: [Shine, productionInfluence, West Coast-influenced production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionInfluence Context triple: [Shine, productionInfluence, West Coast-influenced production]
-
A.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
B.
productionMood
Indicates the emotional tone or atmosphere associated with the creation or production of something.
-
C.
designInfluenceOn
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
-
D.
productionEmphasis
Indicates that the primary focus or priority within a process, project, or system is on production activities or output.
-
E.
influencedIn
chosen
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 22, 2026, 4:32 a.m.