Triple

T11820504
Position Surface form Disambiguated ID Type / Status
Subject Tsai Chao-chu E281112 entity
Predicate relative P37 FINISHED
Object Yuan T. Lee E57173 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: Yuan T. Lee | Statement: [Tsai Chao-chu, relative, Yuan T. Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan T. Lee
Context triple: [Tsai Chao-chu, relative, Yuan T. Lee]
  • A. Yuan T. Lee chosen
    Yuan T. Lee is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
  • B. Charles Kuen Kao
    Charles Kuen Kao was a pioneering physicist and electrical engineer known as the “father of fiber optics” for his groundbreaking work that enabled modern fiber-optic communications.
  • C. Yuan-Cheng Fung
    Yuan-Cheng Fung was a pioneering bioengineer often regarded as the "father of modern biomechanics" for his foundational contributions to the mechanics of living tissues.
  • D. C. Y. Lee
    C. Y. Lee was a Chinese-American novelist best known for his 1957 book "The Flower Drum Song," which was adapted into a successful Rodgers and Hammerstein musical and film.
  • E. Y. W. Lee
    Y. W. Lee was an academic mentor and electrical engineering scholar known for supervising future internet pioneer Leonard Kleinrock during his doctoral studies.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28110623481908354bdd4e437f99e completed April 29, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:42 p.m.