Triple
T18049706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Last Kiss |
E431898
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Hikaru Utada |
—
|
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: Hikaru Utada | Statement: [One Last Kiss, lyricist, Hikaru Utada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikaru Utada Context triple: [One Last Kiss, lyricist, Hikaru Utada]
-
A.
Hikaru Utada
chosen
Hikaru Utada is a Japanese-American singer-songwriter and producer renowned for her influential J-pop albums and theme songs for the Kingdom Hearts video game series.
-
B.
Kaori Momoi
Kaori Momoi is a renowned Japanese actress and director known for her versatile performances in both domestic cinema and international films.
-
C.
Okamura Mika
Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
D.
Aimer
Aimer is a Japanese singer-songwriter known for her distinctive husky voice and contributions to numerous anime soundtracks.
-
E.
Sakari Momoi
Sakari Momoi was a Japanese supercentenarian recognized as one of the world’s oldest living men.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff4a6e08190a5ca8d191aa7f0ae |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.