Triple

T34681017
Position Surface form Disambiguated ID Type / Status
Subject Herbert Giles E890622 entity
Predicate notableWork P4 FINISHED
Object A History of Chinese Literature
A History of Chinese Literature is an influential early English-language survey of Chinese literary history written by British sinologist Herbert Giles.
 E2107916 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: A History of Chinese Literature | Statement: [Herbert Giles, notableWork, A History of Chinese Literature]
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: A History of Chinese Literature
Triple: [Herbert Giles, notableWork, A History of Chinese Literature]
Generated description
A History of Chinese Literature is an influential early English-language survey of Chinese literary history written by British sinologist Herbert Giles.

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_69f349dabc008190a18999c26682ed47 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f723282ac48190855661f3023221db completed May 3, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752f32914819088d7f176ea75a258 completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a37538a0d948190949592c8f833958c completed June 21, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_6a37541fa8d48190aef474f094893f32 completed June 21, 2026, 3:01 a.m.
Created at: May 1, 2026, 2:05 a.m.