Triple

T25875941
Position Surface form Disambiguated ID Type / Status
Subject Later Qin E651900 entity
Predicate fellTo P356 FINISHED
Object Eastern Jin general Liu Yu
Eastern Jin general Liu Yu was a powerful military leader and statesman who led successful campaigns that unified much of China and later founded the Liu Song dynasty.
E660724 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: Eastern Jin general Liu Yu | Statement: [Later Qin, fellTo, Eastern Jin general Liu Yu]
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: Eastern Jin general Liu Yu
Triple: [Later Qin, fellTo, Eastern Jin general Liu Yu]
Generated description
Eastern Jin general Liu Yu was a powerful military leader and statesman who led successful campaigns that unified much of China and later founded the Liu 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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602e04d3481909c7de02ca6b680c7 completed May 2, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da4a23e48190887b7ac06e9328e9 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dda1129c8190b8def9cf4d6447f5 completed May 22, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a10de259fd4819087f0f5707196792d completed May 22, 2026, 10:52 p.m.
Created at: April 22, 2026, 8:12 a.m.