Triple
T13494202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujiwara no Tametoki |
E320716
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tametoki |
E952756
|
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: Tametoki | Statement: [Fujiwara no Tametoki, givenName, Tametoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tametoki Context triple: [Fujiwara no Tametoki, givenName, Tametoki]
-
A.
Tomigusuku
Tomigusuku is a coastal city on Japan’s Okinawa Island known for its proximity to Naha and its blend of urban development with traditional Ryukyuan culture.
-
B.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
C.
Tokomaru
Tokomaru is a traditional Māori voyaging canoe (waka) associated with the Ngāpuhi iwi (tribe) in Aotearoa New Zealand.
-
D.
Michitaka
chosen
Michitaka is a Japanese given name that has been borne by various historical and contemporary figures.
-
E.
Toramana
Toramana was a prominent Huna ruler in early 6th-century northern India, known for his extensive military campaigns and significant role in weakening the Gupta Empire.
- 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_69fba1b300888190980173b585b27d48 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 9:43 p.m.