Triple

T8340878
Position Surface form Disambiguated ID Type / Status
Subject Maung Maung Theik E195908 entity
Predicate familyName P18 FINISHED
Object Theik
Theik is a Burmese surname associated with individuals such as Maung Maung Theik.
 E728377 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: Theik | Statement: [Maung Maung Theik, familyName, Theik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Theik
Context triple: [Maung Maung Theik, familyName, Theik]
  • A. Theur
    Theur is a village near Pune in Maharashtra, India, known for its historic temples and association with the Peshwa-era Maratha nobility.
  • B. Teok
    Teok is a town in the Jorhat district of Assam, India, known as a local commercial and transportation hub in the region.
  • C. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • D. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • E. Tiu
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • 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: Theik
Triple: [Maung Maung Theik, familyName, Theik]
Generated description
Theik is a Burmese surname associated with individuals such as Maung Maung Theik.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Theik
Target entity description: Theik is a Burmese surname associated with individuals such as Maung Maung Theik.
  • A. Theur
    Theur is a village near Pune in Maharashtra, India, known for its historic temples and association with the Peshwa-era Maratha nobility.
  • B. Teok
    Teok is a town in the Jorhat district of Assam, India, known as a local commercial and transportation hub in the region.
  • C. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • D. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • E. Tiu
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • 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_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.
NEDg Description generation batch_69cdcb90bec88190a2c19681405aa13e completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd0fc9488190a0a576c385b9bc1f completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:57 p.m.