Triple

T19816486
Position Surface form Disambiguated ID Type / Status
Subject Wen Jiabao E476070 entity
Predicate nativeName P15 FINISHED
Object 温家宝 NE NERFINISHED

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: 温家宝 | Statement: [Wen Jiabao, nativeName, 温家宝]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 温家宝
Context triple: [Wen Jiabao, nativeName, 温家宝]
  • A. Wen Jiabao chosen
    Wen Jiabao is a Chinese politician who served as Premier of the People's Republic of China from 2003 to 2013.
  • B. Li Keqiang
    Li Keqiang was a Chinese economist and politician who served as the Premier of the People's Republic of China from 2013 to 2023.
  • C. Zhu Rongji
    Zhu Rongji is a prominent Chinese politician and reformist technocrat who served as Premier of the People's Republic of China from 1998 to 2003, overseeing major economic restructuring and market-oriented reforms.
  • D. Zhang Dejiang
    Zhang Dejiang is a retired Chinese politician who served as a top Communist Party leader and was a member of the Politburo Standing Committee, playing a key role in national governance and legislative affairs.
  • E. Wang Qishan
    Wang Qishan is a prominent Chinese politician best known for leading Xi Jinping’s sweeping anti-corruption campaign as head of the Communist Party’s top disciplinary body.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.