Triple
T24661562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiga drama series |
E610550
|
entity |
| Predicate | productionValues |
P156932
|
FINISHED |
| Object | lavish sets and costumes |
—
|
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: lavish sets and costumes | Statement: [Taiga drama series, productionValues, lavish sets and costumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionValues Context triple: [Taiga drama series, productionValues, lavish sets and costumes]
-
A.
productionValue
Indicates the quantitative amount or worth of output generated in a production process or activity.
-
B.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
productionBasis
Indicates the underlying method, principle, or criteria on which something is produced or manufactured.
-
D.
productionOutcome
Indicates the result or consequence produced by a given production process, activity, or event.
-
E.
productionElement
Indicates that one entity functions as a component, ingredient, or constituent used in the creation, manufacture, or production of another entity.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:34 a.m.