Triple
T4084253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fumihito |
E87550
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Princess Kako |
E74243
|
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 Kako | Statement: [Fumihito, child, Princess Kako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Kako Context triple: [Fumihito, child, Princess Kako]
-
A.
Princess Kako
chosen
Princess Kako is a member of the Japanese imperial family and the second daughter of Crown Prince Fumihito and Crown Princess Kiko.
-
B.
Princess Sachiko
Princess Sachiko was a short-lived Japanese imperial princess, the daughter of Emperor Shōwa (Hirohito) and Empress Kōjun.
-
C.
Princess Takako
Princess Takako is a Japanese imperial family member and daughter of Emperor Hirohito, known for her role in Japan’s modern royal lineage.
-
D.
Princess Takamado
Princess Takamado is a member of the Japanese Imperial Family known for her extensive work in cultural exchange, sports promotion, and international goodwill activities.
-
E.
Princess Nobuko
Princess Nobuko was a Japanese imperial princess of the early 20th century who became a member of the Asaka-no-miya house through her marriage to Prince Asaka Yasuhiko.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7a4b488190ab466e2c50329ab3 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6067908190b9724c6d58bda305 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.