Triple
T15427115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Akishino |
E369539
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Princess Kiko |
E26660
|
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: Princess Kiko | Statement: [Prince Akishino, spouse, Princess Kiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Kiko Context triple: [Prince Akishino, spouse, Princess Kiko]
-
A.
Princess Kiko
chosen
Princess Kiko is a member of Japan’s imperial family, known as the wife of Crown Prince Fumihito and mother of Prince Hisahito, the only male heir of his generation.
-
B.
Princess Kako
Princess Kako is a member of the Japanese imperial family and the second daughter of Crown Prince Fumihito and Crown Princess Kiko.
-
C.
Princess Toshi
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.
-
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 Keli
Princess Keli is a royal character from Terry Pratchett’s Discworld novel "Mort," known for her sharp wit, determination, and involvement in the story’s fate-twisting events.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.