Triple
T35685676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Kukus |
E1031138
|
entity |
| Predicate | hasProductionMode |
P207092
|
FINISHED |
| Object | low-budget 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: low-budget production | Statement: [High Kukus, hasProductionMode, low-budget production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionMode Context triple: [High Kukus, hasProductionMode, low-budget production]
-
A.
isProductionReady
Indicates that something has met all necessary quality, stability, and performance criteria to be safely deployed and used in a live production environment.
-
B.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
C.
hasProductionBanner
Indicates that an entity is associated with a specific production banner or production company responsible for its creation.
-
D.
hasProductionFormat
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
E.
hasExperimentalProduction
Indicates that an entity is involved in or associated with a production process that is experimental or in a trial phase rather than standard or fully established.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.