Triple

T20968056
Position Surface form Disambiguated ID Type / Status
Subject Chen Long E516421 entity
Predicate name P16 FINISHED
Object Chen Long 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: Chen Long | Statement: [Chen Long, name, Chen Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chen Long
Context triple: [Chen Long, name, Chen Long]
  • A. Chen Long chosen
    Chen Long is a Chinese badminton player renowned for winning multiple world titles and an Olympic gold medal in men's singles.
  • B. Lin Dan
    Lin Dan is a legendary Chinese badminton player widely regarded as one of the greatest in history, known for winning multiple world and Olympic titles in men's singles.
  • C. Ma Long
    Ma Long is a Chinese table tennis player widely regarded as one of the greatest in the sport’s history, with multiple Olympic and World Championship titles.
  • D. Lee Chong Wei
    Lee Chong Wei is a legendary Malaysian badminton player widely regarded as one of the sport’s greatest singles shuttlers, known for his long reign as world No. 1 and multiple Olympic and World Championship medals.
  • E. Wang Zhining
    Wang Zhining is known primarily as the wife of Zeng Qinghong, a prominent Chinese politician and former Vice President of the People’s Republic of China.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:39 p.m.