Triple
T30343229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blend S |
E771809
|
entity |
| Predicate | endingThemeTitle |
P169731
|
FINISHED |
| Object | Detarame na Kansei |
—
|
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: Detarame na Kansei | Statement: [Blend S, endingThemeTitle, Detarame na Kansei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endingThemeTitle Context triple: [Blend S, endingThemeTitle, Detarame na Kansei]
-
A.
endingThemeCount
Indicates the number of distinct ending themes associated with an entity (such as a work, series, or production).
-
B.
endTheme
Indicates that something serves as the concluding or final thematic element within a larger sequence, work, or context.
-
C.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
D.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
E.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6820597308190a7e31f9c6cee3640 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:55 p.m.