Triple

T8340877
Position Surface form Disambiguated ID Type / Status
Subject Maung Maung Theik E195908 entity
Predicate givenName P17 FINISHED
Object Maung Maung E195908 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 Maung | Statement: [Maung Maung Theik, givenName, Maung Maung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maung Maung
Context triple: [Maung Maung Theik, givenName, Maung Maung]
  • A. Maung Maung
    Maung Maung was a Burmese lawyer, writer, and briefly the president of Myanmar in 1988 during a period of political upheaval.
  • B. Maung Paw Tun
    Maung Paw Tun is a Burmese writer and translator known for his contributions to modern Myanmar literature.
  • C. 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.
  • D. Maung Aye
    Maung Aye is a Burmese military general who served as a leading figure in Myanmar’s former ruling junta and was considered one of the country’s most powerful men during its years of military rule.
  • E. Maung Maung Theik chosen
    Maung Maung Theik is a Burmese individual known primarily as a notable bearer of the name Maung.
  • 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.