Triple
T100310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Golden Age |
E2025
|
entity |
| Predicate | dominantProductionModel |
P2475
|
FINISHED |
| Object | studio system |
—
|
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: studio system | Statement: [Hollywood Golden Age, dominantProductionModel, studio system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantProductionModel Context triple: [Hollywood Golden Age, dominantProductionModel, studio system]
-
A.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
dominantOn
Indicates that one entity exerts control, authority, or prevailing influence over another in a given context.
-
C.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
D.
dominantParty
Indicates that one party in a relationship holds primary control, authority, or influence over the other.
-
E.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.