Triple

T16852801
Position Surface form Disambiguated ID Type / Status
Subject Koo In-hwoi E409715 entity
Predicate founded P104 FINISHED
Object Goldstar E84590 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: Goldstar | Statement: [Koo In-hwoi, founded, Goldstar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldstar
Context triple: [Koo In-hwoi, founded, Goldstar]
  • A. GoldStar chosen
    GoldStar was the original brand name of the South Korean electronics company now known as LG Electronics, under which it produced a wide range of consumer electronics and home appliances.
  • B. Ariston
    Ariston was a notable member of the ancient Greek Aetolian League, likely a statesman or military figure active in its political or military affairs.
  • C. Minka
    Minka is a feminine given name most prominently associated with American actress Minka Kelly.
  • D. Imbera
    Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
  • E. Mitsubishi Electric Diamond Dolphins
    Mitsubishi Electric Diamond Dolphins was the former corporate-backed name of the professional Japanese basketball team now known as the Nagoya Diamond Dolphins.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37abadc81909d02d329403497d6 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a6f2c48190874839f78f943fdb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.