Triple

T926685
Position Surface form Disambiguated ID Type / Status
Subject Timoshenko Medal E19998 entity
Predicate hasNotableRecipient P108 FINISHED
Object Y. C. Fung E111534 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. C. Fung | Statement: [Timoshenko Medal, hasNotableRecipient, Y. C. Fung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Y. C. Fung
Context triple: [Timoshenko Medal, hasNotableRecipient, Y. C. Fung]
  • A. Yuan-Cheng Fung chosen
    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.
  • B. 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.
  • C. Yuan T. Lee
    Yuan T. Lee is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
  • D. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • E. T.H. Chan
    T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32c5b508190a570c94a6647ba70 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16fbe454819085020fc245c959ed completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:40 p.m.