Triple
T335819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Min Ko Naing |
E6723
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Min Ko Naing |
E6723
|
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: Min Ko Naing | Statement: [Min Ko Naing, name, Min Ko Naing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Min Ko Naing Context triple: [Min Ko Naing, name, Min Ko Naing]
-
A.
Min Ko Naing
chosen
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.
-
B.
Cynthia Maung
Cynthia Maung is a Burmese physician and human rights activist renowned for founding the Mae Tao Clinic on the Thai-Myanmar border to provide healthcare for refugees and displaced people.
-
C.
Aung San Suu Kyi
Aung San Suu Kyi is a Burmese political leader and Nobel Peace Prize laureate known for her long struggle for democracy and human rights in Myanmar.
-
D.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
E.
Sulak Sivaraksa
Sulak Sivaraksa is a Thai social activist, Buddhist scholar, and intellectual known for his advocacy of nonviolence, social justice, and engaged Buddhism.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac81c0c8190b3cb0d53b1cf62b5 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d24903d881909ddd6726dce4d535 |
completed | March 1, 2026, 5:44 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.