Triple

T19116539
Position Surface form Disambiguated ID Type / Status
Subject Grand National Party E467920 entity
Predicate notableLeader P304 FINISHED
Object Hong Joon-pyo 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: Hong Joon-pyo | Statement: [Grand National Party, notableLeader, Hong Joon-pyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Joon-pyo
Context triple: [Grand National Party, notableLeader, Hong Joon-pyo]
  • A. Hong Joon-pyo chosen
    Hong Joon-pyo is a South Korean conservative politician who has served as governor of South Gyeongsang Province and as a prominent national lawmaker and party leader.
  • B. Jung Yong-taek
    Jung Yong-taek is a South Korean individual known primarily by the romanized form of his Korean name, Yong-taek Jung.
  • C. Park Hae-soo
    Park Hae-soo is a South Korean actor best known internationally for his prominent role in the hit Netflix survival drama series "Squid Game."
  • D. Kim Swoo-geun
    Kim Swoo-geun was a prominent South Korean architect known for pioneering modern Korean architecture and integrating traditional aesthetics with contemporary design.
  • E. Chung Mong-koo
    Chung Mong-koo is a South Korean businessman best known as the longtime chairman who transformed Hyundai Motor Group into one of the world’s largest automotive manufacturers.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3984bf48190818fa2b01b75decb completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.