Triple

T17738927
Position Surface form Disambiguated ID Type / Status
Subject Mao Anhong E442798 entity
Predicate hasFather P1908 FINISHED
Object Mao Zedong 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: Mao Zedong | Statement: [Mao Anhong, hasFather, Mao Zedong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Zedong
Context triple: [Mao Anhong, hasFather, Mao Zedong]
  • A. Mao Zedong chosen
    Mao Zedong was the founding father of the People's Republic of China and the leader of the Chinese Communist Party whose political, military, and ideological leadership reshaped 20th-century China.
  • B. Mao
    Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
  • C. Mao
    Mao is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
  • D. Mao Zejian
    Mao Zejian was a lesser-known member of the Mao family who was involved in early Chinese revolutionary activities and was executed at a young age.
  • E. Zhuang Zedong
    Zhuang Zedong was a Chinese table tennis champion best known for his pivotal role in initiating Sino-American rapprochement through ping-pong diplomacy in the early 1970s.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acb05848190a4b7edb98f15b8c6 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.