Triple

T17749280
Position Surface form Disambiguated ID Type / Status
Subject Not One Less E443070 entity
Predicate leadActor P1507 FINISHED
Object Wei Minzhi 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: Wei Minzhi | Statement: [Not One Less, leadActor, Wei Minzhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei Minzhi
Context triple: [Not One Less, leadActor, Wei Minzhi]
  • A. Wei Minzhi chosen
    Wei Minzhi is a Chinese actress best known for her breakout role as the young substitute teacher in Zhang Yimou’s film "Not One Less."
  • B. Xi Mingze
    Xi Mingze is the only daughter of Chinese leader Xi Jinping and his wife Peng Liyuan, known for maintaining a low public profile despite her prominent family background.
  • C. Li Min
    Li Min is the daughter of Chinese Communist leader Mao Zedong and his third wife He Zizhen, known primarily for her familial connection to Mao.
  • D. Jiao Zhimin
    Jiao Zhimin is a former Chinese table tennis player who won multiple medals at the 1988 Seoul Olympics and World Championships.
  • E. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • 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_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.