Triple

T12986626
Position Surface form Disambiguated ID Type / Status
Subject Cheong E321784 entity
Predicate romanizationOf P2508 FINISHED
Object Zhang E81790 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: Zhang | Statement: [Cheong, romanizationOf, Zhang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang
Context triple: [Cheong, romanizationOf, Zhang]
  • A. Zhang chosen
    Zhang is a common Chinese surname historically borne by members of the Jewish community of Kaifeng.
  • B. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • C. Zhang Ding
    Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of China.
  • D. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • E. Zhao
    Zhao was an ancient Chinese state during the Warring States period, known for its military strength and role in the political fragmentation preceding the Qin unification.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc277c881909ae77e8a44e06986 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 8:40 p.m.