Triple
T30347248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisemonogatari |
E771898
|
entity |
| Predicate | openingThemePerCharacter |
P21830
|
FINISHED |
| Object | Platinum Disco |
—
|
NE NERFINISHED |
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: Platinum Disco | Statement: [Nisemonogatari, openingThemePerCharacter, Platinum Disco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingThemePerCharacter Context triple: [Nisemonogatari, openingThemePerCharacter, Platinum Disco]
-
A.
openingMovementCharacter
Indicates the characteristic or quality that defines how the opening movement of a work is expressed or perceived.
-
B.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
C.
openingThemeBasedOn
Indicates that the opening theme of a work is derived from, inspired by, or adapted from another specified source.
-
D.
openingThemePerformer
chosen
Indicates the performer or group responsible for performing the opening theme of a work (such as a TV show, film, or game).
-
E.
openingThemeType
Indicates the type or category of an opening theme associated with a work or media.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 7:56 p.m.