Triple

T31381365
Position Surface form Disambiguated ID Type / Status
Subject Zhou Haiying E800464 entity
Predicate wrote P2831 FINISHED
Object 《鲁迅与我七十年》
《鲁迅与我七十年》是一部由鲁迅之子周海婴撰写的回忆录，深情回顾自己与父亲鲁迅及其精神影响相伴一生的经历。
 E1960707 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: 《鲁迅与我七十年》 | Statement: [Zhou Haiying, wrote, 《鲁迅与我七十年》]
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: 《鲁迅与我七十年》
Triple: [Zhou Haiying, wrote, 《鲁迅与我七十年》]
Generated description
《鲁迅与我七十年》是一部由鲁迅之子周海婴撰写的回忆录，深情回顾自己与父亲鲁迅及其精神影响相伴一生的经历。

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_69f224e84da08190abfc2f17494a33c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f69ff17c8c819083188812e3bdface completed May 3, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad23d373881908f1a3ce689128f40 completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2ad2c4a4fc819095968c7c101560bd completed June 11, 2026, 3:22 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae19005fc8190b169fa734c453179 completed June 11, 2026, 4:25 p.m.
Created at: April 29, 2026, 9:18 p.m.