Triple

T13932699
Position Surface form Disambiguated ID Type / Status
Subject The Meth Lab E335031 entity
Predicate producer P490 FINISHED
Object PF Cuttin
PF Cuttin is a hip-hop producer and DJ best known for his gritty, sample-heavy work in New York’s underground rap scene.
E1069276 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: PF Cuttin | Statement: [The Meth Lab, producer, PF Cuttin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PF Cuttin
Context triple: [The Meth Lab, producer, PF Cuttin]
  • A. Rough Cutt
    Rough Cutt is an American heavy metal band from the 1980s Los Angeles scene, known for its melodic yet hard-edged sound and connections to other prominent glam and metal acts.
  • B. Tok Cut-Off
    Tok Cut-Off is a major Alaska highway spur that branches from the Richardson Highway to connect travelers toward Tok and the Alaska Highway.
  • C. New Cut
    New Cut is an artificial waterway in Bristol, England, constructed in the early 19th century to divert the River Avon and improve the city’s harbour.
  • D. Rough Cut
    Rough Cut is a 1980 crime-comedy film starring Burt Reynolds, Lesley-Anne Down, and David Niven, centered on a jewel heist in London.
  • E. The Cut
    The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
  • 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: PF Cuttin
Triple: [The Meth Lab, producer, PF Cuttin]
Generated description
PF Cuttin is a hip-hop producer and DJ best known for his gritty, sample-heavy work in New York’s underground rap scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PF Cuttin
Target entity description: PF Cuttin is a hip-hop producer and DJ best known for his gritty, sample-heavy work in New York’s underground rap scene.
  • A. Rough Cutt
    Rough Cutt is an American heavy metal band from the 1980s Los Angeles scene, known for its melodic yet hard-edged sound and connections to other prominent glam and metal acts.
  • B. Tok Cut-Off
    Tok Cut-Off is a major Alaska highway spur that branches from the Richardson Highway to connect travelers toward Tok and the Alaska Highway.
  • C. New Cut
    New Cut is an artificial waterway in Bristol, England, constructed in the early 19th century to divert the River Avon and improve the city’s harbour.
  • D. Rough Cut
    Rough Cut is a 1980 crime-comedy film starring Burt Reynolds, Lesley-Anne Down, and David Niven, centered on a jewel heist in London.
  • E. The Cut
    The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8452648190b7392d75eb1ca874 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf37cd7c81908f4da2495403bc6c completed May 3, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfee80a881909de648b20043bf6d completed May 3, 2026, 10:45 p.m.
Created at: April 9, 2026, 10:17 p.m.