Triple

T15398111
Position Surface form Disambiguated ID Type / Status
Subject Xinmin Society E368233 entity
Predicate member P10 FINISHED
Object Mao Zedong E1757 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 Zedong | Statement: [Xinmin Society, member, Mao Zedong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao Zedong
Context triple: [Xinmin Society, member, 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 a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
  • C. Mao
    Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
  • 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 (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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8c5d40819086622b70edcb6294 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6f76d48190ac6032c55adbc4af completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:19 a.m.