Triple

T915885
Position Surface form Disambiguated ID Type / Status
Subject Charles K. Kao E19769 entity
Predicate fullName P16 FINISHED
Object Charles Kuen Kao E19769 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: Charles Kuen Kao | Statement: [Charles K. Kao, fullName, Charles Kuen Kao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Kuen Kao
Context triple: [Charles K. Kao, fullName, Charles Kuen Kao]
  • A. Yuan T. Lee
    Yuan T. Lee is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
  • B. Charles K. Kao chosen
    Charles K. Kao was a pioneering physicist and electrical engineer known as the "father of fiber optics" for his groundbreaking work enabling high-speed optical fiber communications.
  • C. Yu-Chi Ho
    Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
  • D. Melvin Wydler
    Melvin Wydler was a U.S. Congressman whose legislative work on technology and innovation policy led to a federal law being named in his honor.
  • E. Charles C. Tan
    Charles C. Tan was a notable benefactor and alumnus of the University of California, Berkeley, for whom the university’s chemical engineering building, Tan Hall, is named.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f789108190815fd1efbd6cc24f completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6062e48190ad7efca6da7d0445 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.