Triple

T36208261
Position Surface form Disambiguated ID Type / Status
Subject Dudjom Rinpoche E1047459 entity
Predicate child P120 FINISHED
Object Chimey Wangmo
Chimey Wangmo is a daughter of the renowned Tibetan Buddhist master Dudjom Rinpoche, associated with the Nyingma tradition.
E2172872 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: Chimey Wangmo | Statement: [Dudjom Rinpoche, child, Chimey Wangmo]
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: Chimey Wangmo
Triple: [Dudjom Rinpoche, child, Chimey Wangmo]
Generated description
Chimey Wangmo is a daughter of the renowned Tibetan Buddhist master Dudjom Rinpoche, associated with 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_69f76e4214748190a76c986d2a1838c2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b55173f08190b2f4f5b8ddf672e2 completed May 3, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3934217e588190aeeaf3a1e21bdaa9 completed June 22, 2026, 1:09 p.m.
NEDg Description generation batch_6a39350a315c8190838fa2987f631da1 completed June 22, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_6a39356e210c8190badece11b58c96b2 completed June 22, 2026, 1:15 p.m.
Created at: May 3, 2026, 4:09 p.m.