Triple

T18698518
Position Surface form Disambiguated ID Type / Status
Subject Emperor Wen of Sui E457184 entity
Predicate templeName P44027 FINISHED
Object Wen 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: Wen | Statement: [Emperor Wen of Sui, templeName, Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wen
Context triple: [Emperor Wen of Sui, templeName, Wen]
  • A. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • B. Wen chosen
    Wen is the posthumous title of King Wen of Zhou, the virtuous and foundational ruler traditionally credited with laying the groundwork for the Zhou dynasty in ancient China.
  • C. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • D. Wenz
    Wenz is a surname variant of Wentz, typically of German origin.
  • E. Wèi
    Wèi is the pinyin romanization of the name of the ancient Chinese State of Wei, a major political power during the Warring States period.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e984988190ae902d41edd8faff completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.