Triple

T14372201
Position Surface form Disambiguated ID Type / Status
Subject Samsung E356383 entity
Predicate foundedBy P104 FINISHED
Object Lee Byung-chul E72263 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: Lee Byung-chul | Statement: [Samsung, foundedBy, Lee Byung-chul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Byung-chul
Context triple: [Samsung, foundedBy, Lee Byung-chul]
  • A. Lee Byung-chul chosen
    Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
  • B. Jang Young-hwan
    Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
  • C. Hwang Jun-ho
    Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
  • D. Yoon Je-moon
    Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
  • E. Kim Hong-gul
    Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729c439481909dac86ed6f5d6411 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:15 a.m.