Triple

T22703264
Position Surface form Disambiguated ID Type / Status
Subject Kyung Hee University E561377 entity
Predicate hasAlumnus P51 FINISHED
Object Rain
Rain is a South Korean singer, songwriter, dancer, actor, and music producer who became one of the first K-pop artists to achieve major international fame.
E387856 NE FINISHED

How this triple was built (4 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: Rain | Statement: [Kyung Hee University, hasAlumnus, Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rain
Context triple: [Kyung Hee University, hasAlumnus, Rain]
  • A. Rain
    "Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
  • B. Rain
    "Rain" is a song by the American rock band Empress.
  • C. Rain
    "Rain" is a 1932 American pre-Code drama film starring Walter Huston, based on W. Somerset Maugham’s short story about moral conflict and temptation in the South Seas.
  • D. Rain
    Rain is a locality within the municipality of Ittigen in the canton of Bern, Switzerland.
  • E. Rain
    "Rain" is a critically acclaimed poetry collection by Scottish poet Don Paterson, noted for its lyrical precision and emotional depth.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rain
Triple: [Kyung Hee University, hasAlumnus, Rain]
Generated description
Rain is a South Korean singer, songwriter, dancer, actor, and music producer who became one of the first K-pop artists to achieve major international fame.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rain
Target entity description: Rain is a South Korean singer, songwriter, dancer, actor, and music producer who became one of the first K-pop artists to achieve major international fame.
  • A. Rain chosen
    Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
  • B. Rain
    "Rain" is a notable work by the South Korean singer-songwriter and producer Dragon.
  • C. Rain
    "Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
  • D. Rain
    "Rain" is a song by British singer-songwriter Michael Holbrook Penniman Jr., better known as Mika, showcasing his signature pop style and theatrical vocals.
  • E. Rain
    "Rain" is a popular 1998 R&B ballad by German singer SWV, known for its smooth harmonies and soulful, emotive style.
  • F. None of above.

Provenance (5 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed40b5c8190a2ac99d215de0c31 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7f9ccb00819092fe5e9d71f545e4 completed May 18, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0b806b4e1481909babc97a8914947a completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:16 p.m.