Triple

T27930657
Position Surface form Disambiguated ID Type / Status
Subject Su Zhe E707969 entity
Predicate nativeName P15 FINISHED
Object 苏辙
苏辙是北宋著名文学家、政治家和思想家,与其兄苏轼并称“苏门二学士”,在散文和诗词创作及经学研究方面成就卓著。
E1795412 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: 苏辙 | Statement: [Su Zhe, nativeName, 苏辙]
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: 苏辙
Triple: [Su Zhe, nativeName, 苏辙]
Generated description
苏辙是北宋著名文学家、政治家和思想家,与其兄苏轼并称“苏门二学士”,在散文和诗词创作及经学研究方面成就卓著。

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a9c5a448190b739a79523610bfd completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13037c35ac8190b8f7b42284ed2429 completed May 24, 2026, 1:56 p.m.
NEDg Description generation batch_6a13076ecce08190a219ae9f8093a9aa completed May 24, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a1308041c648190b5ff53f67dcb142e completed May 24, 2026, 2:15 p.m.
Created at: April 27, 2026, 7:02 p.m.