Triple
T23546954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust Ya Gunz |
E577922
|
entity |
| Predicate | featuresAggressiveProductionStyle |
P152748
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bust Ya Gunz, featuresAggressiveProductionStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAggressiveProductionStyle Context triple: [Bust Ya Gunz, featuresAggressiveProductionStyle, true]
-
A.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
B.
featuresHeavyProduction
Indicates that something involves intensive, large-scale, or complex production work, often requiring substantial resources or effort.
-
C.
hasRawProductionStyle
Indicates that something is characterized by an unpolished, unrefined, or minimally processed style of production.
-
D.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
E.
featuresDarkProduction
Indicates that something includes or is characterized by a dark or moody style of production.
- F. None of above. chosen
Provenance (4 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecb567c8190a54d2c3b63282af5 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.