Triple

T13363544
Position Surface form Disambiguated ID Type / Status
Subject Tiong E318878 entity
Predicate transliterationOf P5923 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: [Tiong, transliterationOf, Zhang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang
Context triple: [Tiong, transliterationOf, 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628affd081909f1790d333f0eef4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730687e548190ab1504d43f250e09 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:32 p.m.