Triple

T21995362
Position Surface form Disambiguated ID Type / Status
Subject Li Jingliang E543191 entity
Predicate nativeName P15 FINISHED
Object 李景亮 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: 李景亮 | Statement: [Li Jingliang, nativeName, 李景亮]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 李景亮
Context triple: [Li Jingliang, nativeName, 李景亮]
  • A. Li Jingliang chosen
    Li Jingliang is a Chinese mixed martial artist and UFC welterweight known for his aggressive striking style and knockout power.
  • B. Li Jiajun
    Li Jiajun is a Chinese short track speed skater who was one of the sport’s leading competitors in the late 1990s and early 2000s, winning multiple Olympic and World Championship medals.
  • C. Liu Li
    Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
  • D. Ma Jingwu
    Ma Jingwu is a Chinese actor best known internationally for his role in Zhang Yimou’s acclaimed film "Raise the Red Lantern."
  • E. Zhang Linpeng
    Zhang Linpeng is a Chinese professional footballer, widely regarded as one of China's top defenders and a long-time mainstay for both club and country.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276493bc81908567445e901bc3a7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.