Triple
T30343888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Dress-Up Darling |
E771822
|
entity |
| Predicate | hasOpeningThemeSong |
P93267
|
FINISHED |
| Object | Sansan Days |
—
|
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: Sansan Days | Statement: [My Dress-Up Darling, hasOpeningThemeSong, Sansan Days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningThemeSong Context triple: [My Dress-Up Darling, hasOpeningThemeSong, Sansan Days]
-
A.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
C.
usedAsOpeningSongIn
chosen
Indicates that a song is used as the opening theme or introductory track for a particular work, such as a show, series, or event.
-
D.
cycleOpeningSong
Indicates that a song serves as the opening theme for a particular cycle, season, or installment of a series.
-
E.
lyricsOfThemeSongBy
Indicates that one entity is the creator or performer of the theme song whose lyrics are associated with another entity.
- 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_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 7:55 p.m.