Triple

T11776909
Position Surface form Disambiguated ID Type / Status
Subject Julian Bell E280040 entity
Predicate employer P7 FINISHED
Object Wuhan University E5774 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: Wuhan University | Statement: [Julian Bell, employer, Wuhan University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuhan University
Context triple: [Julian Bell, employer, Wuhan University]
  • A. Wuhan University chosen
    Wuhan University is a major comprehensive research university in Wuhan, China, renowned for its strong academic programs and picturesque campus.
  • B. Huazhong University of Science and Technology
    Huazhong University of Science and Technology is a major comprehensive research university in China, renowned for its strengths in engineering, science, and medical disciplines.
  • C. China University of Geosciences (Wuhan)
    China University of Geosciences (Wuhan) is a prominent Chinese national university renowned for its programs and research in geology, earth sciences, and related disciplines.
  • D. South China Normal University
    South China Normal University is a comprehensive public university in Guangzhou, China, renowned for its teacher education, humanities, and science programs.
  • E. Hua Dong Li Gong Da Xue
    Hua Dong Li Gong Da Xue is a prominent public research university in Shanghai, China, known for its strong programs in chemical engineering, materials science, and related technological fields.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a560bf548190afab3ad14f953a71 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ab899081908f16439de65f442b completed May 6, 2026, 8:16 p.m.
Created at: April 8, 2026, 9:42 p.m.