Triple
T16845964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberwoman |
E409538
|
entity |
| Predicate | starsActor |
P5563
|
FINISHED |
| Object | Naoko Mori |
—
|
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: Naoko Mori | Statement: [Cyberwoman, starsActor, Naoko Mori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naoko Mori Context triple: [Cyberwoman, starsActor, Naoko Mori]
-
A.
Naoko Mori
chosen
Naoko Mori is a Japanese-born British actress best known for her roles in the TV series "Torchwood" and the musical "Miss Saigon."
-
B.
Naoko Sato
Naoko Sato is a Japanese given name that may refer to multiple individuals, including professionals in fields such as sports, entertainment, or academia.
-
C.
Naoko Yamazaki
Naoko Yamazaki is a Japanese engineer and former JAXA astronaut who flew aboard NASA's Space Shuttle Discovery on the STS-131 mission to the International Space Station.
-
D.
Ayako Wakao
Ayako Wakao is a renowned Japanese actress celebrated for her prolific film career from the 1950s onward, particularly in collaborations with director Yasuzō Masumura.
-
E.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3541a008190b2a97cfea92b170f |
completed | April 18, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:24 a.m.