Triple

T13057060
Position Surface form Disambiguated ID Type / Status
Subject Hard II Love E327605 entity
Predicate producer P490 FINISHED
Object Scribz Riley
Scribz Riley is a British Grammy-winning songwriter and record producer known for his work with major R&B and hip-hop artists.
 E1019001 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: Scribz Riley | Statement: [Hard II Love, producer, Scribz Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scribz Riley
Context triple: [Hard II Love, producer, Scribz Riley]
  • A. Rollie
    Rollie is a fictional character played by actor Dayton Callie, best known from his work in American television dramas.
  • B. Rollie
    Rollie is the nickname of Rollie Massimino, a renowned American college basketball coach best known for leading Villanova to the 1985 NCAA championship.
  • C. Rolie
    Rolie is the surname of Gregg Rolie, the American keyboardist and singer best known as a founding member of Santana and Journey.
  • D. Rolly
    Rolly is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
  • E. Syl Apps Jr.
    Syl Apps Jr. is a former Canadian professional ice hockey centre who played in the NHL, notably for the Pittsburgh Penguins, during the 1970s.
  • 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: Scribz Riley
Triple: [Hard II Love, producer, Scribz Riley]
Generated description
Scribz Riley is a British Grammy-winning songwriter and record producer known for his work with major R&B and hip-hop artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scribz Riley
Target entity description: Scribz Riley is a British Grammy-winning songwriter and record producer known for his work with major R&B and hip-hop artists.
  • A. Rollie
    Rollie is a fictional character played by actor Dayton Callie, best known from his work in American television dramas.
  • B. Rollie
    Rollie is the nickname of Rollie Massimino, a renowned American college basketball coach best known for leading Villanova to the 1985 NCAA championship.
  • C. Rolie
    Rolie is the surname of Gregg Rolie, the American keyboardist and singer best known as a founding member of Santana and Journey.
  • D. Rolly
    Rolly is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
  • E. Syl Apps Jr.
    Syl Apps Jr. is a former Canadian professional ice hockey centre who played in the NHL, notably for the Pittsburgh Penguins, during the 1970s.
  • 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.