Triple
T17685973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris |
E440887
|
entity |
| Predicate | bondedTo |
P68132
|
FINISHED |
| Object | Ayana Hirasaka |
—
|
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: Ayana Hirasaka | Statement: [Iris, bondedTo, Ayana Hirasaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayana Hirasaka Context triple: [Iris, bondedTo, Ayana Hirasaka]
-
A.
Ayana Hirasaka
chosen
Ayana Hirasaka is a character from the "Iris" multimedia franchise, known for her role within its story and associated media.
-
B.
Yuka Mizuhara
Yuka Mizuhara is a Japanese-American model and media personality known for her fashion work and for being the younger sister of model-actress Kiko Mizuhara.
-
C.
Sanae Takaichi
Sanae Takaichi is a Japanese conservative politician of the Liberal Democratic Party who has served in several ministerial posts and is known for her bids for party leadership and advocacy of hawkish security and traditionalist social policies.
-
D.
Takako Yoshida
Takako Yoshida is a Japanese given name borne by various individuals, including notable figures in fields such as sports and entertainment.
-
E.
Yuka Hirata
Yuka Hirata is a Japanese actress and performer known for her roles in stage productions and television dramas.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.