Triple
T22037897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law of Averages |
E544256
|
entity |
| Predicate | featuresProduction |
P69478
|
FINISHED |
| Object | minimalist 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: minimalist production | Statement: [Law of Averages, featuresProduction, minimalist production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProduction Context triple: [Law of Averages, featuresProduction, minimalist production]
-
A.
featuresProducer
Indicates that an entity serves as the producer or creator responsible for generating the features of another entity.
-
B.
productionFeature
chosen
Indicates that something is a characteristic, element, or attribute involved in the process or method of producing something.
-
C.
featuresDarkProduction
Indicates that something includes or is characterized by a dark or moody style of production.
-
D.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
featuresItem
Indicates that one entity includes, presents, or highlights another entity as a notable item or component.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.