Triple
T14805161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinergi Pictures |
E348012
|
entity |
| Predicate | scaleOfProductions |
P47413
|
FINISHED |
| Object | big-budget |
—
|
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: big-budget | Statement: [Cinergi Pictures, scaleOfProductions, big-budget]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfProductions Context triple: [Cinergi Pictures, scaleOfProductions, big-budget]
-
A.
productionScale
chosen
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
B.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
C.
annualProductions
Indicates a relationship where a specified number or set of items is produced each year by an entity.
-
D.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
E.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:34 a.m.