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.