Triple

T28284328
Position Surface form Disambiguated ID Type / Status
Subject Ouyang Xiu E713237 entity
Predicate ChineseName P744 FINISHED
Object 歐陽修
歐陽修 was a prominent Northern Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and major role in the Classical Prose Movement.
 E1810722 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: 歐陽修 | Statement: [Ouyang Xiu, ChineseName, 歐陽修]
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: 歐陽修
Triple: [Ouyang Xiu, ChineseName, 歐陽修]
Generated description
歐陽修 was a prominent Northern Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and major role in the Classical Prose Movement.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6447ea3508190a90d7168899c3ee3 completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632ee7640819097db8f1911c63f7b completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a163495d6888190a6c226919d78ee45 completed May 27, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a16353dbdf88190b6d85c1b6c0c195c completed May 27, 2026, 12:05 a.m.
Created at: April 27, 2026, 11:25 p.m.