Triple

T15624223
Position Surface form Disambiguated ID Type / Status
Subject Ye Wenjie E375638 entity
Predicate portrayedBy P1507 FINISHED
Object Rosalind Chao E1024756 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: Rosalind Chao | Statement: [Ye Wenjie, portrayedBy, Rosalind Chao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalind Chao
Context triple: [Ye Wenjie, portrayedBy, Rosalind Chao]
  • A. Rosalind Chao chosen
    Rosalind Chao is an American actress best known for her roles in "The Joy Luck Club" and the "Star Trek" franchise.
  • B. Fay Chang
    Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
  • C. Edith Chao
    Edith Chao was the wife of Chinese warlord and political figure Zhang Xueliang, accompanying him through his long years of house arrest and exile.
  • D. Jane X. Luu
    Jane X. Luu is an astronomer best known for co-discovering the first Kuiper Belt Object beyond Pluto, helping to revolutionize our understanding of the outer Solar System.
  • E. Linda Cho
    Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.