Triple

T4879989
Position Surface form Disambiguated ID Type / Status
Subject Yuja Wang E109299 entity
Predicate familyName P18 FINISHED
Object Wang E426103 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: 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. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Wang Dulu
    Wang Dulu was a Chinese novelist best known for his wuxia (martial arts) romance novels, particularly the Crane-Iron series that inspired the Crouching Tiger, Hidden Dragon films.
  • D. William Wang
    William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
  • E. Wu Bai
    Wu Bai is a Taiwanese rock singer, songwriter, and actor widely regarded as one of the most influential figures in Mandarin rock music.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dc071d4819083ea9fd0c73c5f49 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.