Triple

T16412121
Position Surface form Disambiguated ID Type / Status
Subject Wanyan Aguda E398591 entity
Predicate templeName P44027 FINISHED
Object Taizu E1191720 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: Taizu | Statement: [Wanyan Aguda, templeName, Taizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taizu
Context triple: [Wanyan Aguda, templeName, Taizu]
  • A. Taizu
    Taizu is the temple name of the Hongwu Emperor, the founding ruler of China’s Ming dynasty.
  • B. Taizu
    Taizu is the temple name given to Tang of Shang, the founding king of China’s Shang dynasty.
  • C. Taizu chosen
    Taizu is the temple name honoring Emperor Taizu of Jin, the founding ruler of the Jurchen-led Jin dynasty in northern China.
  • D. Gaozu
    Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • E. Gaozu
    Gaozu was the temple name of Emperor Gaozu of Tang, the founder and first emperor of China’s Tang dynasty.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c68b7408190a9612a57f146dc30 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.