Triple

T5369371
Position Surface form Disambiguated ID Type / Status
Subject Mao Xinyu E108808 entity
Predicate familyName P18 FINISHED
Object Mao E163362 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 | Statement: [Mao Xinyu, familyName, Mao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mao
Context triple: [Mao Xinyu, familyName, Mao]
  • A. Mao
    Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
  • B. Mao chosen
    Mao is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
  • C. Mao Zedong
    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.
  • 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. Mao II
    Mao II is a 1991 novel by Don DeLillo that explores themes of terrorism, mass media, and the diminishing power of the individual writer in a spectacle-driven world.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c4cdec48190908b52a37b82c2d1 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:02 p.m.