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.