Triple
T3926540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoko Ono |
E93289
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 小野洋子 |
E93289
|
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: 小野洋子 | Statement: [Yoko Ono, nativeName, 小野洋子]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 小野洋子 Context triple: [Yoko Ono, nativeName, 小野洋子]
-
A.
Yoko Ono
chosen
Yoko Ono is a Japanese multimedia artist, musician, and peace activist known for her avant-garde work and her marriage and collaborations with John Lennon.
-
B.
Yoko Satō
Yoko Satō is a Japanese individual known for bearing the surname Satō, which is one of the most common family names in Japan.
-
C.
Yoko
Yoko is a Japanese given name commonly used for women and borne by various notable figures in arts, literature, and entertainment.
-
D.
Yayoi Kusama
Yayoi Kusama is a pioneering Japanese contemporary artist renowned for her immersive installations, polka-dot motifs, and exploration of infinity, repetition, and psychological themes.
-
E.
Mary McCartney
Mary McCartney is a British photographer and filmmaker, known for her portrait and documentary work as well as being the daughter of musician Paul McCartney and photographer Linda McCartney.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52878184c8190980af506bb03d5db |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:23 p.m.