Triple

T19560699
Position Surface form Disambiguated ID Type / Status
Subject Tan Zheng E489440 entity
Predicate name P16 FINISHED
Object Tan Zheng 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: Tan Zheng | Statement: [Tan Zheng, name, Tan Zheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tan Zheng
Context triple: [Tan Zheng, name, Tan Zheng]
  • A. Tan Zheng chosen
    Tan Zheng was a prominent Chinese Communist military leader and political commissar who played a key role in the development of the People’s Liberation Army’s political work system.
  • B. Teng Yu
    Teng Yu is a Chinese given name borne by various individuals, typically of East Asian origin.
  • C. Yang Zhao
    Yang Zhao was a crown prince of the Sui dynasty and the eldest son of Emperor Wen of Sui, who died before he could ascend the throne.
  • D. Zheng Hao
    Zheng Hao is an actor known for his role in the Chinese film "The Road Home."
  • E. Zhu Changhao
    Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.