Triple
T16059394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakuban |
E389566
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object | Daishi |
E1093104
|
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: Daishi | Statement: [Kakuban, honorificTitle, Daishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daishi Context triple: [Kakuban, honorificTitle, Daishi]
-
A.
Daishi
chosen
Daishi is the posthumous honorific title granted to the Japanese Buddhist monk Kūkai, founder of the Shingon school of esoteric Buddhism.
-
B.
Sōri Daijin
Sōri Daijin is the Japanese term for the Prime Minister, the head of government and chief executive authority of Japan.
-
C.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
D.
Dainagon
Dainagon was a high-ranking counselor position in the Japanese imperial court, responsible for advising the emperor and overseeing important state affairs.
-
E.
Goro
Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.