Triple

T19852816
Position Surface form Disambiguated ID Type / Status
Subject Yuja Wang E477043 entity
Predicate familyName P18 FINISHED
Object Wang 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: Wang | Statement: [Yuja Wang, familyName, Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wang
Context triple: [Yuja Wang, familyName, Wang]
  • A. Wang chosen
    Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
  • B. Wangs
    Wangs is a village in the municipality of Vilters-Wangs in the canton of St. Gallen, Switzerland, known as a local residential and alpine tourism area.
  • C. Wang He
    Wang He was a military commander of the State of Qin during the Warring States period of ancient China, known for his role in the campaigns surrounding the Battle of Changping.
  • D. Wang Ben
    Wang Ben was a Qin dynasty general, traditionally regarded as the son of the famous general Wang Jian, who played a key role in the Qin unification of China.
  • E. Wang Ye
    Wang Ye is a collective title for powerful Taoist guardian deities, often venerated as royal lords who protect communities from misfortune and disease in Chinese folk religion.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.