Triple

T19328770
Position Surface form Disambiguated ID Type / Status
Subject Shirley Lin E483429 entity
Predicate hasFamilyMember P7844 FINISHED
Object Gie-Ming Lin 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: Gie-Ming Lin | Statement: [Shirley Lin, hasFamilyMember, Gie-Ming Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gie-Ming Lin
Context triple: [Shirley Lin, hasFamilyMember, Gie-Ming Lin]
  • A. Gie-Ming Lin chosen
    Gie-Ming Lin is known primarily as a family member of Shirley Lin, likely recognized in relation to her public or professional profile.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Chi-lung Shih
    Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
  • 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_69e6163ffddc81909e9cb13e780f1f18 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.