Triple

T1926326
Position Surface form Disambiguated ID Type / Status
Subject Nobel Prize in Chemistry E40838 entity
Predicate notableLaureate P1618 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: [Nobel Prize in Chemistry, notableLaureate, Yuan T. Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan T. Lee
Context triple: [Nobel Prize in Chemistry, notableLaureate, 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. 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.
  • C. 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.
  • D. Henry Eyring
    Henry Eyring was a prominent theoretical chemist known for his development of transition state theory and major contributions to chemical kinetics and reaction-rate theory.
  • E. T. D. Lee
    T. D. Lee is a Chinese-American physicist and Nobel laureate renowned for his pioneering work on parity violation in weak interactions.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb261ef8481909be2390ac5a02622 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.