Triple
T17533208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koizumi Kyoko |
E426989
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kyoko |
—
|
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: Kyoko | Statement: [Koizumi Kyoko, givenName, Kyoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyoko Context triple: [Koizumi Kyoko, givenName, Kyoko]
-
A.
Kyoko
chosen
Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
-
B.
Kiyoko
Kiyoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to purity or respect.
-
C.
Keiko
Keiko was a famous captive orca best known for starring in the film "Free Willy" and later becoming the focus of a high-profile rehabilitation and release effort.
-
D.
Kyoko Sakura
Kyoko Sakura is a spear-wielding, food-loving magical girl known for her brash attitude and tragic past in the anime series Puella Magi Madoka Magica.
-
E.
Ayako
Ayako is a Japanese feminine given name commonly used for women and girls in Japan.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536a0f588190ade91d32308897a0 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.