Triple

T23166137
Position Surface form Disambiguated ID Type / Status
Subject Guo Shoujing E578715 entity
Predicate familyName P18 FINISHED
Object Guo 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: Guo | Statement: [Guo Shoujing, familyName, Guo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guo
Context triple: [Guo Shoujing, familyName, Guo]
  • A. Guo chosen
    Guo is a common Chinese surname shared by many individuals across China and the Chinese diaspora.
  • B. Guofan
    Guofan is the given name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
  • C. Gao
    Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in China.
  • D. Gao
    Gao is an Oceanic language of the Southeast Solomonic group spoken in the Solomon Islands.
  • E. Gao
    Gao is a historic city in eastern Mali that served as a major trading center and former capital of the Songhai Empire along the Niger River.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2c923c81908b58811fffdcf932 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.