Triple
T8111071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maung Maung Oo |
E189352
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maung |
E32253
|
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 | Statement: [Maung Maung Oo, givenName, Maung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maung Context triple: [Maung Maung Oo, givenName, Maung]
-
A.
Maung
chosen
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
B.
Maung Wuntha
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
-
C.
Paung
Paung is a town in southeastern Myanmar that serves as a local center within Mon State.
-
D.
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.
-
E.
Ba Maw
Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fcfb9c81908496f9a7e30d0d8a |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc942a9af881908b7ddc724755893e |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.