Triple

T28046724
Position Surface form Disambiguated ID Type / Status
Subject Sun Lutang E708703 entity
Predicate notableFor P22 FINISHED
Object Sun-style taijiquan
Sun-style taijiquan is a major style of Tai Chi characterized by agile, flowing steps and an emphasis on internal energy cultivation, developed by the Chinese martial artist Sun Lutang.
E1823067 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: Sun-style taijiquan | Statement: [Sun Lutang, notableFor, Sun-style taijiquan]
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: Sun-style taijiquan
Triple: [Sun Lutang, notableFor, Sun-style taijiquan]
Generated description
Sun-style taijiquan is a major style of Tai Chi characterized by agile, flowing steps and an emphasis on internal energy cultivation, developed by the Chinese martial artist Sun Lutang.

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_69ef9b6cf538819094a633ffa67afec1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63f342abc8190bc64e5d54d0ddacf completed May 2, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac239c548190a50b78c7ada2c600 completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cad1f66808190a06ccb3173820494 completed May 31, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a1cae27c61081908e2d3eeae96fb157 completed May 31, 2026, 9:54 p.m.
Created at: April 27, 2026, 8:30 p.m.