Triple

T29986086
Position Surface form Disambiguated ID Type / Status
Subject Aung San Lin E761737 entity
Predicate memberOf P10 FINISHED
Object Aung San family
The Aung San family is a prominent Burmese political dynasty best known for producing Myanmar’s independence hero Aung San and his daughter, Nobel Peace Prize laureate Aung San Suu Kyi.
 E1895545 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: Aung San family | Statement: [Aung San Lin, memberOf, Aung San family]
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: Aung San family
Triple: [Aung San Lin, memberOf, Aung San family]
Generated description
The Aung San family is a prominent Burmese political dynasty best known for producing Myanmar’s independence hero Aung San and his daughter, Nobel Peace Prize laureate Aung San Suu Kyi.

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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67915bf008190b87d771e157bd3c8 completed May 2, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a272201cc208190ae849ffb0d80aec3 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2724257ad88190aa9148edaeb01096 completed June 8, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a272738fe988190ba8b43c819546bb4 completed June 8, 2026, 8:34 p.m.
Created at: April 29, 2026, 6:36 p.m.