Triple

T19839716
Position Surface form Disambiguated ID Type / Status
Subject Fu E476693 entity
Predicate hasNotableBearer P458 FINISHED
Object Fu Cong 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: Fu Cong | Statement: [Fu, hasNotableBearer, Fu Cong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fu Cong
Context triple: [Fu, hasNotableBearer, Fu Cong]
  • A. Fu Cong chosen
    Fu Cong is a Chinese diplomat who serves as the Permanent Representative of the People’s Republic of China to the United Nations.
  • B. Feng Congde
    Feng Congde is a Chinese pro-democracy activist best known as one of the prominent student leaders during the 1989 Tiananmen Square protests.
  • C. Hu Fuming
    Hu Fuming was a Chinese scholar and politician best known for his influential 1978 essay “Practice is the Sole Criterion for Testing Truth,” which helped launch China’s ideological shift toward reform and opening.
  • D. Yang Chengwu
    Yang Chengwu was a prominent Chinese military leader and general in the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • E. Fang Guoyu
    Fang Guoyu was a prominent Chinese scholar known for his pioneering research and documentation of the Naxi language and Dongba culture.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:50 p.m.