Triple

T4962618
Position Surface form Disambiguated ID Type / Status
Subject Shirley Lin E111444 entity
Predicate spouse P13 FINISHED
Object Gie-Ming Lin E483429 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: Gie-Ming Lin | Statement: [Shirley Lin, spouse, Gie-Ming Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gie-Ming Lin
Context triple: [Shirley Lin, spouse, 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-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.
  • C. Paul Jen-kuei Li
    Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
  • D. Mung Chiang
    Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
  • E. 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.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f3e6148190b99f35734220ffc3 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89fa42a081909055b6c30505e6b2 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:32 p.m.