Triple

T37734698
Position Surface form Disambiguated ID Type / Status
Subject Huangmei County E940247 entity
Predicate associatedWith P37 FINISHED
Object Fifth Patriarch Hongren
Fifth Patriarch Hongren was a seminal early Chan (Zen) Buddhist master of the Tang dynasty, renowned as the Fifth Patriarch who helped shape the development of Chinese Zen.
E2259336 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: Fifth Patriarch Hongren | Statement: [Huangmei County, associatedWith, Fifth Patriarch Hongren]
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: Fifth Patriarch Hongren
Triple: [Huangmei County, associatedWith, Fifth Patriarch Hongren]
Generated description
Fifth Patriarch Hongren was a seminal early Chan (Zen) Buddhist master of the Tang dynasty, renowned as the Fifth Patriarch who helped shape the development of Chinese Zen.

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_69f76edefd048190a32212c5c3919531 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae99652c8190a25e0b5c5d145bb4 completed May 6, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a417b15b41c8190996d43b926b29636 completed June 28, 2026, 7:50 p.m.
NEDg Description generation batch_6a417ca177708190a5a9a3ac116ddf9c completed June 28, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_6a417ddcda1c81909f669eb397efe3f2 completed June 28, 2026, 8:02 p.m.
Created at: May 3, 2026, 4:18 p.m.