Triple

T29258266
Position Surface form Disambiguated ID Type / Status
Subject Guo Rong E741763 entity
Predicate successor P78 FINISHED
Object Chai Zongxun
Chai Zongxun was the last emperor of the Later Zhou dynasty during China’s Five Dynasties and Ten Kingdoms period, whose brief reign ended when Zhao Kuangyin usurped the throne to found the Song dynasty.
E1859649 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: Chai Zongxun | Statement: [Guo Rong, successor, Chai Zongxun]
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: Chai Zongxun
Triple: [Guo Rong, successor, Chai Zongxun]
Generated description
Chai Zongxun was the last emperor of the Later Zhou dynasty during China’s Five Dynasties and Ten Kingdoms period, whose brief reign ended when Zhao Kuangyin usurped the throne to found the Song dynasty.

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_69f0912065c08190bddd23e20e8ef18e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f664af8ca48190bfd74d02b761a1b4 completed May 2, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25892dea9081909bae356c126e5079 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258fccd5d881909f451df087e6a5ce completed June 7, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a25938707b48190b20b4c7ad7f46628 completed June 7, 2026, 3:51 p.m.
Created at: April 28, 2026, 12:39 p.m.