Triple
T4782832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashavatara |
E106405
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Buddha |
E57288
|
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: Buddha | Statement: [Dashavatara, member, Buddha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddha Context triple: [Dashavatara, member, Buddha]
-
A.
Buddha
"Buddha" is a biographical and historical study of Siddhartha Gautama by religious historian Karen Armstrong, exploring the life, teachings, and enduring influence of the Buddha.
-
B.
Shakyamuni Buddha
chosen
Shakyamuni Buddha is the historical founder of Buddhism, revered as an enlightened teacher who attained awakening and taught the path to liberation from suffering.
-
C.
Gautama
Gautama is an ancient Indian sage and philosopher traditionally credited with founding the Nyaya school of Hindu logic and epistemology.
-
D.
Ash Buddha
Ash Buddha is a large-scale sculptural installation by contemporary Chinese artist Zhang Huan, created from incense ash to explore themes of spirituality, impermanence, and collective memory.
-
E.
Bồ Đề
Bồ Đề is an urban ward of Long Biên District in Hanoi, Vietnam, known for its dense residential areas and proximity to central Hanoi across the Red River.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ad3a188190872e47e3a3bf504b |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43d72e3881909184aeee29b623a0 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.