Triple

T36051906
Position Surface form Disambiguated ID Type / Status
Subject Jigme Lingpa E1042831 entity
Predicate teacherOf P48 FINISHED
Object Do Khyentse Yeshe Dorje
Do Khyentse Yeshe Dorje was a prominent 19th-century Tibetan Buddhist master and tertön renowned for his unconventional, “mad yogi” style and his role in the Nyingma tradition.
 E2201661 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: Do Khyentse Yeshe Dorje | Statement: [Jigme Lingpa, teacherOf, Do Khyentse Yeshe Dorje]
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: Do Khyentse Yeshe Dorje
Triple: [Jigme Lingpa, teacherOf, Do Khyentse Yeshe Dorje]
Generated description
Do Khyentse Yeshe Dorje was a prominent 19th-century Tibetan Buddhist master and tertön renowned for his unconventional, “mad yogi” style and his role in the Nyingma tradition.

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_69f76e2e41f8819091f9fb0536920fec completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b1e50fd4819082729b8ef2eccab1 completed May 3, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde41f3348190b96f63ba3a2d6d7f completed June 26, 2026, 2:04 a.m.
NEDg Description generation batch_6a3ddf6f4a748190aaace4a2e3a44ae2 completed June 26, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a3df3a3d2f88190b830f1ee5ae68f3c completed June 26, 2026, 3:36 a.m.
Created at: May 3, 2026, 4:07 p.m.