Triple

T4090203
Position Surface form Disambiguated ID Type / Status
Subject E87686 entity
Predicate traditionalForm P24858 FINISHED
Object E87686 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: 詹 | Statement: [詹, traditionalForm, 詹]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 詹
Context triple: [詹, traditionalForm, 詹]
  • A. chosen
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • 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 Jun
    Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
  • D. Jia
    Jia is a young deaf orphan girl who forms an emotional bond with King Kong in the MonsterVerse film "Godzilla vs. Kong."
  • E. Niu Jian
    Niu Jian was a Qing dynasty official and diplomat who served as one of the Chinese negotiators of the Treaty of Nanking, which ended the First Opium War.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcab0a1c8190a1b0ca48ebc95b31 completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6651d48190915581eca783cf3b completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.