Triple

T36004175
Position Surface form Disambiguated ID Type / Status
Subject Khön family E1041216 entity
Predicate hasMember P10 FINISHED
Object Ngawang Kunga Tekchen Palbar
Ngawang Kunga Tekchen Palbar was a prominent Tibetan Buddhist hierarch of the Sakya tradition and a notable member of the influential Khön family lineage.
E2186687 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: Ngawang Kunga Tekchen Palbar | Statement: [Khön family, hasMember, Ngawang Kunga Tekchen Palbar]
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: Ngawang Kunga Tekchen Palbar
Triple: [Khön family, hasMember, Ngawang Kunga Tekchen Palbar]
Generated description
Ngawang Kunga Tekchen Palbar was a prominent Tibetan Buddhist hierarch of the Sakya tradition and a notable member of the influential Khön family lineage.

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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac851f648190a376ff726520372c completed May 3, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbb51aac8190923e7fbc07a606e5 completed June 23, 2026, 1:04 a.m.
NEDg Description generation batch_6a39dc6faffc8190bc65e812b89dffda completed June 23, 2026, 1:07 a.m.
NED2 Entity disambiguation (via description) batch_6a39dd3627f48190a70cd2c7a8497aa9 completed June 23, 2026, 1:11 a.m.
Created at: May 3, 2026, 4:07 p.m.