Triple
T10611743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Supayalat |
E276023
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object | Queen of Burma |
E276023
|
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: Queen of Burma | Statement: [Queen Supayalat, positionHeld, Queen of Burma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen of Burma Context triple: [Queen Supayalat, positionHeld, Queen of Burma]
-
A.
Queen Supayalat
chosen
Queen Supayalat was the last queen of Burma, known for her strong political influence, resistance to British colonial expansion, and central role in the fall of the Konbaung dynasty.
-
B.
Nanda Bayin
Nanda Bayin was a 16th-century Burmese king who ruled the Toungoo Empire at its height but presided over its rapid decline and fragmentation.
-
C.
Mya Yi
Mya Yi was the wife of U Nu, Burma’s first democratically elected prime minister and a prominent political leader.
-
D.
Ko Ko Gyi
Ko Ko Gyi is a prominent Burmese democracy activist and former student leader known for his long-standing opposition to military rule in Myanmar.
-
E.
Serafima Birman
Serafima Birman was a Soviet stage and film actress known for her powerful character roles in mid-20th-century Russian cinema and theatre.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.