Triple

T19244152
Position Surface form Disambiguated ID Type / Status
Subject MOL Global E481204 entity
Predicate keyPerson P256 FINISHED
Object Min-Liang Tan NE NERFINISHED

How this triple was built (3 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: Min-Liang Tan | Statement: [MOL Global, keyPerson, Min-Liang Tan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Min-Liang Tan
Context triple: [MOL Global, keyPerson, Min-Liang Tan]
  • A. Tung-Mow Yan
    Tung-Mow Yan is a theoretical physicist best known for co-formulating the Drell–Yan process, a fundamental mechanism for lepton pair production in high-energy particle collisions.
  • B. Cho-Liang Lin
    Cho-Liang Lin is a Taiwanese-American violinist renowned for his virtuosity, lyrical tone, and international solo career, including acclaimed performances with major orchestras and extensive recordings.
  • C. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • D. Tung-Yen Lin
    Tung-Yen Lin was a pioneering Chinese-American structural engineer renowned for his groundbreaking work in prestressed concrete and major bridge designs worldwide.
  • E. Wei-Ning Hsu
    Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Min-Liang Tan
Target entity description: Min-Liang Tan is a Singaporean entrepreneur and co-founder/CEO of gaming hardware and lifestyle brand Razer Inc., known for his influential role in the global gaming industry.
  • A. Tung-Mow Yan
    Tung-Mow Yan is a theoretical physicist best known for co-formulating the Drell–Yan process, a fundamental mechanism for lepton pair production in high-energy particle collisions.
  • B. Cho-Liang Lin
    Cho-Liang Lin is a Taiwanese-American violinist renowned for his virtuosity, lyrical tone, and international solo career, including acclaimed performances with major orchestras and extensive recordings.
  • C. Liang-Chieh Chen
    Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
  • D. Tung-Yen Lin
    Tung-Yen Lin was a pioneering Chinese-American structural engineer renowned for his groundbreaking work in prestressed concrete and major bridge designs worldwide.
  • E. Wei-Ning Hsu
    Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
  • F. None of above. chosen

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf47820819081e8b6af852bb1dd completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.