Triple
T13297156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayumi Ito |
E316714
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ayumi |
E316714
|
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: Ayumi | Statement: [Ayumi Ito, givenName, Ayumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayumi Context triple: [Ayumi Ito, givenName, Ayumi]
-
A.
Ayumi Nakamura
Ayumi Nakamura is a Japanese rock singer and songwriter known for her powerful vocals and energetic performances since the 1980s.
-
B.
Mayumi
Mayumi is a Japanese surname borne by various individuals, including Akinobu Mayumi, and can also be used as a given name.
-
C.
Mayumi Kai
Mayumi Kai is a Japanese DJ and music producer best known as the widow of The Prodigy frontman Keith Flint.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Ayumi Ito
chosen
Ayumi Ito is a Japanese actress known for her film and television roles, including work in both domestic productions and international projects.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a2f2708190a8f2aa7e7c0b92d2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546fbd1881909d2dda1edb63df2f |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:28 p.m.