Triple
T13494288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Shōshi |
E320718
|
entity |
| Predicate | posthumousTitle |
P4225
|
FINISHED |
| Object | Jōtōmon-in |
E1247275
|
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: Jōtōmon-in | Statement: [Empress Shōshi, posthumousTitle, Jōtōmon-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jōtōmon-in Context triple: [Empress Shōshi, posthumousTitle, Jōtōmon-in]
-
A.
Jōtōmon-in
chosen
Jōtōmon-in was the honorary title of Empress Shōshi, a prominent consort of Emperor Ichijō and influential figure in the Heian-period Japanese imperial court.
-
B.
Kōtoku-in
Kōtoku-in is a Buddhist temple in Kamakura, Japan, best known for its monumental outdoor bronze statue of the Great Buddha (Daibutsu).
-
C.
Kodai-in
Kodai-in, better known as Nene, was the principal wife of Toyotomi Hideyoshi and a prominent noblewoman who later became a respected Buddhist nun and patron of temples in Japan’s late Sengoku period.
-
D.
Nigatsu-dō
Nigatsu-dō is a prominent sub-temple hall within the Tōdai-ji complex in Nara, Japan, renowned for its annual Shuni-e (Omizutori) Buddhist repentance ceremony.
-
E.
Ishiyama-dera
Ishiyama-dera is a historic Buddhist temple in Japan renowned for its autumn foliage, cultural treasures, and association with the author of The Tale of Genji.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec19c508190912c3fe186f8a992 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 9, 2026, 9:43 p.m.