Triple

T4386239
Position Surface form Disambiguated ID Type / Status
Subject Murphy Lee E99248 entity
Predicate associatedWith P37 FINISHED
Object J-Kwon
J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
 E436580 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: J-Kwon | Statement: [Murphy Lee, associatedWith, J-Kwon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J-Kwon
Context triple: [Murphy Lee, associatedWith, J-Kwon]
  • A. Wi Ha-joon
    Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
  • B. Zico
    Zico is a legendary Brazilian attacking midfielder renowned for his playmaking, vision, and free-kick mastery, often regarded as one of the greatest footballers of all time.
  • C. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • D. Kitack
    Kitack is a South Korean maritime lawyer and civil servant best known for serving as Secretary-General of the International Maritime Organization (IMO).
  • E. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • 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: J-Kwon
Triple: [Murphy Lee, associatedWith, J-Kwon]
Generated description
J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J-Kwon
Target entity description: J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
  • A. Wi Ha-joon
    Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
  • B. Zico
    Zico is a legendary Brazilian attacking midfielder renowned for his playmaking, vision, and free-kick mastery, often regarded as one of the greatest footballers of all time.
  • C. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • D. Kitack
    Kitack is a South Korean maritime lawyer and civil servant best known for serving as Secretary-General of the International Maritime Organization (IMO).
  • E. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • F. None of above. chosen

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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e526e35c8190838c59e402da3c89 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeaf35348190a1611f5b04baed1f completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef5c7e0c819080b0e8914dcd6568 completed March 14, 2026, 11:29 p.m.
Created at: March 12, 2026, 11:19 p.m.