Triple

T16822978
Position Surface form Disambiguated ID Type / Status
Subject Zhu Shizhen E408941 entity
Predicate familyName P18 FINISHED
Object Zhu E99651 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: Zhu | Statement: [Zhu Shizhen, familyName, Zhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu
Context triple: [Zhu Shizhen, familyName, Zhu]
  • A. Zhu chosen
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • 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. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • D. Zhou
    Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
  • E. Zheng
    Zheng is the given name of Qin Shi Huang, the first emperor who unified China and founded the Qin dynasty.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e838e881908b650194c9b94886 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d452505c8190b6d37b54b2f665f0 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:23 a.m.