Triple

T21842869
Position Surface form Disambiguated ID Type / Status
Subject Eileen Chang E539297 entity
Predicate givenName P17 FINISHED
Object Ying 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: Ying | Statement: [Eileen Chang, givenName, Ying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ying
Context triple: [Eileen Chang, givenName, Ying]
  • A. Ying chosen
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • B. Yingying
    Yingying is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a Tibetan antelope symbolizing health and athleticism.
  • C. Qiying
    Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
  • D. Ziying
    Ziying was the last ruler of the Qin dynasty in ancient China, whose brief reign ended with the dynasty’s collapse and the rise of the Han.
  • E. Changying
    Changying is a Chinese given name that appears in historical contexts, including among members of the Ming dynasty imperial family.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.