Triple
T11752245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwan-eum |
E279434
|
entity |
| Predicate | hasForm |
P169
|
FINISHED |
| Object | White-Robed Gwan-eum |
E279434
|
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: White-Robed Gwan-eum | Statement: [Gwan-eum, hasForm, White-Robed Gwan-eum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White-Robed Gwan-eum Context triple: [Gwan-eum, hasForm, White-Robed Gwan-eum]
-
A.
Gwan-eum
chosen
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Kwan-non
Kwan-non is an alternative spelling of Kannon, the Japanese Buddhist bodhisattva of compassion derived from the Chinese Guanyin.
-
C.
Yongdam Yusa
Yongdam Yusa is a key scripture of the Donghak (Eastern Learning) movement, compiling the teachings, songs, and revelations of its founder Choe Je-u.
-
D.
Seokbosangjeol
Seokbosangjeol is a 15th-century Korean Buddhist text, written in the then-new Hangul script, that compiles and explains stories from the life and teachings of the Buddha.
-
E.
Mugunghwa-ho
Mugunghwa-ho is a class of South Korean intercity passenger trains operated by Korail, known for providing affordable, slower-speed service connecting major cities and regional areas.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.