Triple

T8340876
Position Surface form Disambiguated ID Type / Status
Subject Maung Maung Theik E195908 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 Theik, givenName, Maung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maung
Context triple: [Maung Maung Theik, 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.