Triple

T7724384
Position Surface form Disambiguated ID Type / Status
Subject Ma Xiaotian E175092 entity
Predicate name P16 FINISHED
Object Ma Xiaotian E175092 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: Ma Xiaotian | Statement: [Ma Xiaotian, name, Ma Xiaotian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ma Xiaotian
Context triple: [Ma Xiaotian, name, Ma Xiaotian]
  • A. Ma Xiaotian chosen
    Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
  • B. Yang Tianyi
    Yang Tianyi is an online content creator known for gaining popularity and a significant following on digital platforms.
  • C. Lo Xiaohu
    Lo Xiaohu is a passionate young desert bandit and romantic hero in the film "Crouching Tiger, Hidden Dragon," known for his intense relationship with Jen Yu and his quest for redemption.
  • D. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • E. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8dea75df88190b0d1187e57dcfddb completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 4:05 p.m.