Triple

T15992096
Position Surface form Disambiguated ID Type / Status
Subject Rain E387856 entity
Predicate spouse P13 FINISHED
Object Kim Tae-hee (actress) E1187299 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: Kim Tae-hee (actress) | Statement: [Rain, spouse, Kim Tae-hee (actress)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Tae-hee (actress)
Context triple: [Rain, spouse, Kim Tae-hee (actress)]
  • A. Kim Tae-hee chosen
    Kim Tae-hee is a South Korean actress renowned for her roles in popular television dramas such as "Stairway to Heaven," "Love Story in Harvard," and "Iris."
  • B. Lee In-hee
    Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • C. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • D. Han Ye-ri
    Han Ye-ri is a South Korean actress known for her nuanced performances in film and television, including her acclaimed role in the drama "Minari."
  • E. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.