Triple

T17585713
Position Surface form Disambiguated ID Type / Status
Subject Zhu Yuling E428315 entity
Predicate name P16 FINISHED
Object Zhu Yuling 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: Zhu Yuling | Statement: [Zhu Yuling, name, Zhu Yuling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Yuling
Context triple: [Zhu Yuling, name, Zhu Yuling]
  • A. Zhu Yuling chosen
    Zhu Yuling is a Chinese table tennis player known for being one of the world’s top women’s singles competitors and a multiple-time World Championships medalist.
  • B. Teng Yu-yu
    Teng Yu-yu is a Taiwanese film editor known for her work on several acclaimed Chinese-language films.
  • C. Ting-Ting
    Ting-Ting is one of the Emperor of China’s daughters and a poised, duty-bound princess who accompanies Mulan and Shang on their diplomatic journey in Disney’s animated sequel "Mulan II."
  • D. Tang Shuyu
    Tang Shuyu was an early Zhou dynasty noble who became the first ruler of the state of Jin, laying the foundations for one of ancient China’s most powerful feudal states.
  • E. Yen Yu-yun
    Yen Yu-yun was a Chinese socialite and diplomat’s wife best known as the spouse of prominent Chinese statesman V. K. Wellington Koo.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.