Triple
T30346080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LiSA |
E771870
|
entity |
| Predicate | themeSongType |
P118333
|
FINISHED |
| Object | anime opening theme performer |
—
|
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: anime opening theme performer | Statement: [LiSA, themeSongType, anime opening theme performer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeSongType Context triple: [LiSA, themeSongType, anime opening theme performer]
-
A.
songType
Indicates the specific category or genre that a given song belongs to.
-
B.
musicThemeType
chosen
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
-
C.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
-
D.
themeMusicFor
Indicates that one entity serves as the theme music or signature tune specifically composed or selected for another entity, such as a show, character, or event.
-
E.
melodyType
Indicates the specific kind or category of melody associated with or used by an 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_69f682073b00819087f197f3937071a5 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.