Triple
T962980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Takako |
E20775
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Princess Shigeko |
E19765
|
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 Shigeko | Statement: [Princess Takako, sibling, Princess Shigeko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Shigeko Context triple: [Princess Takako, sibling, Princess Shigeko]
-
A.
Princess Shigeko
chosen
Princess Shigeko was the eldest daughter of Emperor Hirohito of Japan, known for her role as a member of the Japanese imperial family during the Shōwa era.
-
B.
Princess Kazuko
Princess Kazuko was a Japanese imperial princess, the second daughter of Emperor Hirohito, who became a prominent member of the Imperial Family in the Shōwa era.
-
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 Atsuko
Princess Atsuko is a Japanese imperial family member, the daughter of Emperor Hirohito, who became known as Princess Yori before marrying into the Takamado family.
-
E.
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.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbad10ae48190af7dcaa8dfff30ec |
completed | March 7, 2026, 11:54 p.m. |
Created at: March 1, 2026, 7:40 p.m.