Triple

T30671301
Position Surface form Disambiguated ID Type / Status
Subject Alaungpaya E780798 entity
Predicate father P120 FINISHED
Object Min Nyo San
Min Nyo San was a Burmese nobleman best known as the father of Alaungpaya, the founder of Burma’s Konbaung Dynasty.
 E1932148 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 Nyo San | Statement: [Alaungpaya, father, Min Nyo San]
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: Min Nyo San
Triple: [Alaungpaya, father, Min Nyo San]
Generated description
Min Nyo San was a Burmese nobleman best known as the father of Alaungpaya, the founder of Burma’s Konbaung Dynasty.

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_69f224a7fc208190a07d6d3879b31640 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b147cdc819080d4cfccd1fc8d35 completed May 2, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b07f0c448190bee14ad07855ac96 completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b1cd9e78819093ff46123d12a12e completed June 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2b2c9fc8190af8deaeceb76e5f9 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:32 p.m.