Triple
T7456182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese occupation of Burma |
E172127
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object |
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.
|
E665762
|
NE FINISHED |
How this triple was built (4 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: Ba Maw | Statement: [Japanese occupation of Burma, keyFigure, Ba Maw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ba Maw Context triple: [Japanese occupation of Burma, keyFigure, Ba Maw]
-
A.
Maung Wuntha
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
-
B.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
C.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
D.
Maung Nyein Chan
Maung Nyein Chan is a Burmese individual notable enough to be recognized as a prominent bearer of the name Maung.
-
E.
Thandwe
Thandwe is a coastal town in western Myanmar’s Rakhine State, historically known as Sandoway and serving as an important regional center near the popular Ngapali Beach.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ba Maw Triple: [Japanese occupation of Burma, keyFigure, Ba Maw]
Generated description
Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ba Maw Target entity description: Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
-
A.
Maung Wuntha
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
-
B.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
C.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
D.
Maung Nyein Chan
Maung Nyein Chan is a Burmese individual notable enough to be recognized as a prominent bearer of the name Maung.
-
E.
Thandwe
Thandwe is a coastal town in western Myanmar’s Rakhine State, historically known as Sandoway and serving as an important regional center near the popular Ngapali Beach.
- F. None of above. chosen
Provenance (5 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827c39a848190bc275468362ce3bc |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828e1487081908de825d60ea38c9e |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c829d8a15c8190911e0d7bda39c280 |
completed | March 28, 2026, 7:19 p.m. |
Created at: March 27, 2026, 3:15 p.m.