Triple

T13057064
Position Surface form Disambiguated ID Type / Status
Subject Hard II Love E327605 entity
Predicate producer P490 FINISHED
Object K-Major
K-Major is an American songwriter and record producer known for his work in contemporary R&B and hip-hop.
 E1019003 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: K-Major | Statement: [Hard II Love, producer, K-Major]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-Major
Context triple: [Hard II Love, producer, K-Major]
  • A. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • B. Kurn
    Kurn is a Klingon warrior and the younger brother of Worf in the Star Trek universe.
  • C. Kanka
    Kanka is an alternative name for Yudhishthira, the eldest of the Pandava brothers and a central figure in the Indian epic Mahabharata, renowned for his righteousness and adherence to dharma.
  • D. Kumiya
    Kumiya is a Berber tribal group historically associated with the rise and support base of the Almohad leader Abd al-Mu’min in the Maghreb.
  • E. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • 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: K-Major
Triple: [Hard II Love, producer, K-Major]
Generated description
K-Major is an American songwriter and record producer known for his work in contemporary R&B and hip-hop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-Major
Target entity description: K-Major is an American songwriter and record producer known for his work in contemporary R&B and hip-hop.
  • A. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • B. Kurn
    Kurn is a Klingon warrior and the younger brother of Worf in the Star Trek universe.
  • C. Kanka
    Kanka is an alternative name for Yudhishthira, the eldest of the Pandava brothers and a central figure in the Indian epic Mahabharata, renowned for his righteousness and adherence to dharma.
  • D. Kumiya
    Kumiya is a Berber tribal group historically associated with the rise and support base of the Almohad leader Abd al-Mu’min in the Maghreb.
  • E. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6d039254881909927b58225f194de completed May 3, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6d0d218d4819080273a151a0890d3 completed May 3, 2026, 4:36 a.m.
Created at: April 9, 2026, 8:58 p.m.