Triple

T19318899
Position Surface form Disambiguated ID Type / Status
Subject Biomechanics: Mechanical Properties of Living Tissues E483168 entity
Predicate author P4 FINISHED
Object Yuan-Cheng Fung NE NERFINISHED

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-Cheng Fung | Statement: [Biomechanics: Mechanical Properties of Living Tissues, author, Yuan-Cheng Fung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan-Cheng Fung
Context triple: [Biomechanics: Mechanical Properties of Living Tissues, author, Yuan-Cheng 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. Kuo-Chen Huang
    Kuo-Chen Huang was a physicist whose work on electron–phonon coupling in solids led to the formulation of the Huang–Rhys factor in solid-state spectroscopy.
  • C. Pao-Chi Chang
    Pao-Chi Chang is a cinematographer best known for his work on the action-comedy film "Shanghai Noon."
  • D. Chi-lung Shih
    Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
  • E. Fu-Sheng Chiu
    Fu-Sheng Chiu is a film producer best known for his work on acclaimed Chinese-language cinema, including the internationally recognized drama "To Live."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d868dd48190b1439a5f4ff58c48 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.