Triple
T7815301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maung Wuntha |
E180991
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maung Wuntha |
E180991
|
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 Wuntha | Statement: [Maung Wuntha, name, Maung Wuntha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maung Wuntha Context triple: [Maung Wuntha, name, Maung Wuntha]
-
A.
Maung Wuntha
chosen
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
-
B.
Maung Thura
Maung Thura, better known by his stage name Zarganar, is a prominent Burmese comedian, actor, and dissident famed for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
C.
Maung Nyein Chan
Maung Nyein Chan is a Burmese individual notable enough to be recognized as a prominent bearer of the name Maung.
-
D.
Maung Maung
Maung Maung was a Burmese lawyer, writer, and briefly the president of Myanmar in 1988 during a period of political upheaval.
-
E.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb147d965881908003551710a1bbff |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:39 p.m.