Triple
T5749660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naoko Mori |
E126818
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Toshiko Sato |
E123059
|
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: Toshiko Sato | Statement: [Naoko Mori, playedCharacter, Toshiko Sato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshiko Sato Context triple: [Naoko Mori, playedCharacter, Toshiko Sato]
-
A.
Toshiko Sato
chosen
Toshiko Sato is a brilliant and introverted technical expert and doctor in the British science-fiction series Torchwood, known for her skills in alien technology and her emotional depth.
-
B.
Toshiko Soma
Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
-
C.
Yoshiko Satō
Yoshiko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
D.
Fumiko Homma
Fumiko Homma was the wife of Japanese General Masaharu Homma, who commanded Imperial Japanese forces in the Philippines during World War II.
-
E.
Yoshiko Ikeda
Yoshiko Ikeda was the wife of former Japanese Prime Minister Hayato Ikeda and served as Japan’s First Lady during his tenure in the early 1960s.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1353095c08190b07bcc1299ed7f20 |
completed | March 23, 2026, 12:42 p.m. |
Created at: March 22, 2026, 3:48 p.m.