Triple

T30572467
Position Surface form Disambiguated ID Type / Status
Subject Ashina clan E778154 entity
Predicate hasMember P10 FINISHED
Object Shibi Qaghan
Shibi Qaghan was a prominent early 7th-century ruler of the Eastern Turkic Khaganate from the Ashina royal clan, known for his military campaigns against the Sui and early Tang dynasties in China.
E1930539 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: Shibi Qaghan | Statement: [Ashina clan, hasMember, Shibi Qaghan]
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: Shibi Qaghan
Triple: [Ashina clan, hasMember, Shibi Qaghan]
Generated description
Shibi Qaghan was a prominent early 7th-century ruler of the Eastern Turkic Khaganate from the Ashina royal clan, known for his military campaigns against the Sui and early Tang dynasties in China.

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6891430e88190b817a955536b4afd completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b07819808190ac75b9a43795201c completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b1ecd9448190a88b0f465f97a8ba completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b28e61f881908ea11ba5951789bd completed June 10, 2026, 12:40 a.m.
Created at: April 29, 2026, 8:22 p.m.