Triple

T13933061
Position Surface form Disambiguated ID Type / Status
Subject Dopium E335039 entity
Predicate producer P490 FINISHED
Object Felony Muzik
Felony Muzik is a music producer known for working on hip-hop projects such as the Wu-Tang Clan-affiliated album "Dopium."
E1069896 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: Felony Muzik | Statement: [Dopium, producer, Felony Muzik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felony Muzik
Context triple: [Dopium, producer, Felony Muzik]
  • A. The Criminal Kind
    The Criminal Kind is a song by Tom Petty and the Heartbreakers featured on their 1981 album "Hard Promises."
  • B. The Criminals
    The Criminals is a punk rock band known for featuring guitarist Jason White, who later gained prominence with Green Day.
  • C. Machine Gun Funk
    "Machine Gun Funk" is a track by The Notorious B.I.G. from his landmark debut album "Ready to Die," showcasing his gritty storytelling and smooth, laid-back flow over a funk-influenced beat.
  • D. Funk This
    Funk This is a Grammy-winning studio album by American R&B and funk singer Chaka Khan, known for its blend of classic soul, funk, and contemporary production.
  • E. They Made Me a Criminal
    They Made Me a Criminal is a 1939 American crime drama film starring John Garfield as a fugitive boxer entangled in a murder case.
  • 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: Felony Muzik
Triple: [Dopium, producer, Felony Muzik]
Generated description
Felony Muzik is a music producer known for working on hip-hop projects such as the Wu-Tang Clan-affiliated album "Dopium."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Felony Muzik
Target entity description: Felony Muzik is a music producer known for working on hip-hop projects such as the Wu-Tang Clan-affiliated album "Dopium."
  • A. The Criminal Kind
    The Criminal Kind is a song by Tom Petty and the Heartbreakers featured on their 1981 album "Hard Promises."
  • B. The Criminals
    The Criminals is a punk rock band known for featuring guitarist Jason White, who later gained prominence with Green Day.
  • C. Machine Gun Funk
    "Machine Gun Funk" is a track by The Notorious B.I.G. from his landmark debut album "Ready to Die," showcasing his gritty storytelling and smooth, laid-back flow over a funk-influenced beat.
  • D. Funk This
    Funk This is a Grammy-winning studio album by American R&B and funk singer Chaka Khan, known for its blend of classic soul, funk, and contemporary production.
  • E. They Made Me a Criminal
    They Made Me a Criminal is a 1939 American crime drama film starring John Garfield as a fugitive boxer entangled in a murder case.
  • 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_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce865ab4819088221189344b3801 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:17 p.m.