Triple
T13482429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Fujitsubo |
E318403
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Lady Kiritsubo |
E1043126
|
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: Lady Kiritsubo | Statement: [Lady Fujitsubo, inspiredBy, Lady Kiritsubo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Kiritsubo Context triple: [Lady Fujitsubo, inspiredBy, Lady Kiritsubo]
-
A.
Lady Kiritsubo
chosen
Lady Kiritsubo is a low-ranking but beloved consort of the emperor and the mother of Hikaru Genji in Murasaki Shikibu’s classic Japanese novel "The Tale of Genji."
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Nijō Motoko
Nijō Motoko was a Japanese noblewoman of the Nijō family and the mother of Empress Teimei, consort of Emperor Taishō.
-
D.
Yoriko
Yoriko is a Japanese feminine given name commonly borne by women and girls in Japan.
-
E.
Kodama Naoko
Kodama Naoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75481b6f48190b6cd6cef3e8dee20 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.