Triple

T4273967
Position Surface form Disambiguated ID Type / Status
Subject Liu Songlin E97002 entity
Predicate spouse P13 FINISHED
Object Mao Anqing E16414 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: Mao Anqing | Statement: [Liu Songlin, spouse, Mao Anqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Anqing
Context triple: [Liu Songlin, spouse, Mao Anqing]
  • A. Mao Anqing chosen
    Mao Anqing was the second son of Chinese Communist leader Mao Zedong, known for his work as a Russian-language translator and his relatively low political profile compared to his father.
  • B. Mao Anying
    Mao Anying was the eldest son of Chinese leader Mao Zedong, best known for his death while serving as a volunteer officer in the Korean War.
  • C. Mao Yuanxin
    Mao Yuanxin is a Chinese political figure known as Mao Zedong’s nephew who briefly held influential positions during the final years of the Cultural Revolution.
  • D. Mao Anhong
    Mao Anhong is a lesser-known son of Chinese Communist leader Mao Zedong and a member of the Mao family.
  • E. Deng Hua
    Deng Hua was a prominent Chinese military commander and general in the People's Volunteer Army during the Korean War.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b63734dee08190a9c0e051a28d9177 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:07 p.m.