Triple
T22997499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Toshi |
E572542
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object | Princess Toshi |
—
|
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: Princess Toshi | Statement: [Princess Toshi, honorificTitle, Princess Toshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Toshi Context triple: [Princess Toshi, honorificTitle, Princess Toshi]
-
A.
Princess Toshi
chosen
Princess Toshi, formally Princess Aiko, is the only child of Emperor Naruhito and Empress Masako of Japan and a member of the Japanese imperial family.
-
B.
Princess Teishi
Princess Teishi was a Heian-period Japanese imperial princess and consort, known for her connections to the powerful Fujiwara clan.
-
C.
Princess Tokushi
Princess Tokushi was a Japanese imperial princess of the late Heian period, known as a daughter of Emperor Shirakawa.
-
D.
Princess Nori
Princess Nori is the former title of Sayako Kuroda, the daughter of Japan’s Emperor Akihito and Empress Michiko, who left the imperial family upon her marriage to a commoner.
-
E.
Princess Seishi
Princess Seishi was a Japanese imperial princess of the early Heian period who became the consort of Emperor Junna.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f452b48190951fc5dde56c1bb2 |
completed | April 29, 2026, 4:03 a.m. |
Created at: April 17, 2026, 3:50 p.m.