Triple

T9466819
Position Surface form Disambiguated ID Type / Status
Subject Amar Bose E228291 entity
Predicate academicAdvisor P167 FINISHED
Object Y. W. Lee E185944 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: Y. W. Lee | Statement: [Amar Bose, academicAdvisor, Y. W. Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Y. W. Lee
Context triple: [Amar Bose, academicAdvisor, Y. W. Lee]
  • A. Y. W. Lee chosen
    Y. W. Lee was an academic mentor and electrical engineering scholar known for supervising future internet pioneer Leonard Kleinrock during his doctoral studies.
  • B. 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.
  • C. John C. H. Lee
    John C. H. Lee was a senior U.S. Army general in World War II, best known for overseeing logistics and support operations for American forces in the European theater.
  • D. John M. Y. Lee
    John M. Y. Lee is an American architect known for designing major civic and institutional buildings, including the Thurgood Marshall Federal Judiciary Building in Washington, D.C.
  • E. R. N. Kao
    R. N. Kao was an Indian spymaster and intelligence officer best known for founding and leading India’s external intelligence agency, the Research and Analysis Wing (RAW).
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.