Triple
T11407274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Budokan |
E270270
|
entity |
| Predicate | hostedArtist |
P2777
|
FINISHED |
| Object | Perfume |
E362327
|
NE 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: Perfume | Statement: [Nippon Budokan, hostedArtist, Perfume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perfume Context triple: [Nippon Budokan, hostedArtist, Perfume]
-
A.
Perfume
chosen
Perfume is a Japanese pop girl group known for their futuristic electro-pop sound, synchronized choreography, and influential role in shaping modern J-pop.
-
B.
Perfume
"Perfume" is a pop ballad by Britney Spears that explores themes of jealousy and vulnerability in a troubled relationship.
-
C.
Perfume (album)
Perfume is a studio album by Brazilian singer Daniela Mercury that showcases her blend of axé, pop, and Brazilian popular music.
-
D.
Lady of Perfume
Lady of Perfume is an epithet of the Egyptian goddess Bastet, highlighting her association with fragrance, sensuality, and protective femininity.
-
E.
Libre Le Parfum
Libre Le Parfum is an intense, warm, and spicy flanker of Yves Saint Laurent’s Libre fragrance, known for amplifying the original’s lavender-vanilla signature with richer, more opulent notes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d6eea4c81908319a590d2d9e177 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.