Triple
T1522208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maung |
E32253
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Maung Maung Swe |
E173867
|
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: Maung Maung Swe | Statement: [Maung, hasNotableBearer, Maung Maung Swe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maung Maung Swe Context triple: [Maung, hasNotableBearer, Maung Maung Swe]
-
A.
Maung Zarni
Maung Zarni is a Burmese scholar and human rights activist known for his outspoken criticism of Myanmar’s military and advocacy for the Rohingya and other persecuted minorities.
-
B.
Maung Htin Aung
Maung Htin Aung was a prominent Burmese scholar, author, and diplomat known for his works on Burmese history, folklore, and culture.
-
C.
Maung Paw Tun
Maung Paw Tun is a Burmese writer and translator known for his contributions to modern Myanmar literature.
-
D.
Maung Maung
chosen
Maung Maung was a Burmese lawyer, writer, and briefly the president of Myanmar in 1988 during a period of political upheaval.
-
E.
Min Ko Naing
Min Ko Naing is a prominent Burmese pro-democracy activist and former student leader renowned for his role in organizing resistance against military rule in Myanmar.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907fe8b0c8190a765afd3a10ee5e0 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6085199c8190868aef3c28842d4e |
completed | March 8, 2026, 11:41 a.m. |
Created at: March 4, 2026, 7:26 p.m.