Triple

T28284040
Position Surface form Disambiguated ID Type / Status
Subject New History of the Five Dynasties E713230 entity
Predicate alsoKnownAs P39 FINISHED
Object Xin Wudai Shi
Xin Wudai Shi is a historical work by the Song dynasty scholar Ouyang Xiu that provides a critical narrative of China’s Five Dynasties period (907–960).
E1810717 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: Xin Wudai Shi | Statement: [New History of the Five Dynasties, alsoKnownAs, Xin Wudai Shi]
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: Xin Wudai Shi
Triple: [New History of the Five Dynasties, alsoKnownAs, Xin Wudai Shi]
Generated description
Xin Wudai Shi is a historical work by the Song dynasty scholar Ouyang Xiu that provides a critical narrative of China’s Five Dynasties period (907–960).

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_6a160728a9108190b774efc094320cdb completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a1613ef6698819089eb6e89c8fff844 completed May 26, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1614512f9881908fa9fe919e32a1e4 completed May 26, 2026, 9:44 p.m.
Created at: April 27, 2026, 11:25 p.m.