Triple

T22033192
Position Surface form Disambiguated ID Type / Status
Subject Tang Wei E544135 entity
Predicate givenName P17 FINISHED
Object Wei 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: Wei | Statement: [Tang Wei, givenName, Wei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei
Context triple: [Tang Wei, givenName, Wei]
  • A. Wei chosen
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • B. Wei
    Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
  • C. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • D. Wen
    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.
  • E. Wen
    Wen is a Chinese surname borne by numerous individuals, including prominent political figures such as former premier Wen Jiabao.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.