Triple

T31349620
Position Surface form Disambiguated ID Type / Status
Subject Bayinnaung E799549 entity
Predicate fatherInLaw P18081 FINISHED
Object Thado Dhamma Yaza II of Prome
Thado Dhamma Yaza II of Prome was a 16th-century Burmese viceroy of the Prome (Pyay) region in the Toungoo Empire and a prominent royal figure connected to King Bayinnaung.
E2012671 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: Thado Dhamma Yaza II of Prome | Statement: [Bayinnaung, fatherInLaw, Thado Dhamma Yaza II of Prome]
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: Thado Dhamma Yaza II of Prome
Triple: [Bayinnaung, fatherInLaw, Thado Dhamma Yaza II of Prome]
Generated description
Thado Dhamma Yaza II of Prome was a 16th-century Burmese viceroy of the Prome (Pyay) region in the Toungoo Empire and a prominent royal figure connected to King Bayinnaung.

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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f1aa9288190acf961c1ed89938f completed May 3, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b5f10f08190b7404e4c2fc62b10 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347cb4b3848190badc3f8bf4d184e8 completed June 18, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a347da3535081908263b33d3a3045fa completed June 18, 2026, 11:22 p.m.
Created at: April 29, 2026, 9:17 p.m.