Triple
T9689006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannon |
E234489
|
entity |
| Predicate | hasForm |
P169
|
FINISHED |
| Object | Shō Kannon |
E816231
|
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: Shō Kannon | Statement: [Kannon, hasForm, Shō Kannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shō Kannon Context triple: [Kannon, hasForm, Shō Kannon]
-
A.
Jūichimen Kannon
chosen
Jūichimen Kannon is a revered form of the bodhisattva Kannon (Avalokiteśvara) depicted with eleven heads, symbolizing expanded compassion and the ability to perceive the suffering of all beings.
-
B.
Benzaiten
Benzaiten is a Japanese Buddhist and Shinto goddess of music, eloquence, knowledge, and the arts, closely associated with water and often identified with the Hindu goddess Saraswati.
-
C.
Shichifukujin
Shichifukujin are the Seven Lucky Gods in Japanese folklore, a group of deities believed to bring good fortune, prosperity, and happiness.
-
D.
Hōshin Myōju
Hōshin Myōju was the wife of the famed Japanese tea master Sen no Rikyū, associated with the cultural milieu surrounding the development of wabi-cha tea ceremony aesthetics in the late Sengoku period.
-
E.
Tōshō
Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d019d40819095059a4d6167900a |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcbbe0108190a7011d52ba24ba4b |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:17 p.m.