Triple
T30343890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Dress-Up Darling |
E771822
|
entity |
| Predicate | hasEndingThemeSong |
P7259
|
FINISHED |
| Object | Koi no Yukue |
—
|
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: Koi no Yukue | Statement: [My Dress-Up Darling, hasEndingThemeSong, Koi no Yukue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndingThemeSong Context triple: [My Dress-Up Darling, hasEndingThemeSong, Koi no Yukue]
-
A.
hasThemeSong
chosen
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
hasEndCreditsMusic
Indicates that an audiovisual work features specific music played during its end credits sequence.
-
C.
hasFinale
Indicates that one entity serves as the concluding or final part (such as an ending segment, episode, or event) of another entity.
-
D.
lyricsOfThemeSongBy
Indicates that one entity is the creator or performer of the theme song whose lyrics are associated with another entity.
-
E.
hasFinaleMovement
Indicates that one entity (typically a musical work or performance) includes another entity as its concluding or final movement.
- 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.