Triple
T14014948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaecation |
E337179
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Scorp Dezel
Scorp Dezel is a music producer known for working on tracks such as those by the artist Swaecation.
|
E1074501
|
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: Scorp Dezel | Statement: [Swaecation, producer, Scorp Dezel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scorp Dezel Context triple: [Swaecation, producer, Scorp Dezel]
-
A.
Scoop DeVille
Scoop DeVille is an American hip-hop record producer known for crafting hit singles for artists like Kendrick Lamar, Snoop Dogg, and Fat Joe.
-
B.
Zeke Shaw
Zeke Shaw is a character from the science fiction television series "The 100," known for his intelligence, engineering skills, and role within the spacefaring group of survivors.
-
C.
Scharrel
Scharrel is a village in the municipality of Saterland in Lower Saxony, Germany, known for its Saterland Frisian linguistic heritage.
-
D.
Basher Tarr
Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
-
E.
Stephen Orlac
Stephen Orlac is the tormented concert pianist in the 1935 horror film "Mad Love," whose transplanted hands drive him toward madness and violence.
- 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: Scorp Dezel Triple: [Swaecation, producer, Scorp Dezel]
Generated description
Scorp Dezel is a music producer known for working on tracks such as those by the artist Swaecation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scorp Dezel Target entity description: Scorp Dezel is a music producer known for working on tracks such as those by the artist Swaecation.
-
A.
Scoop DeVille
Scoop DeVille is an American hip-hop record producer known for crafting hit singles for artists like Kendrick Lamar, Snoop Dogg, and Fat Joe.
-
B.
Zeke Shaw
Zeke Shaw is a character from the science fiction television series "The 100," known for his intelligence, engineering skills, and role within the spacefaring group of survivors.
-
C.
Scharrel
Scharrel is a village in the municipality of Saterland in Lower Saxony, Germany, known for its Saterland Frisian linguistic heritage.
-
D.
Basher Tarr
Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
-
E.
Stephen Orlac
Stephen Orlac is the tormented concert pianist in the 1935 horror film "Mad Love," whose transplanted hands drive him toward madness and violence.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbb4df903481908a760e6d7f47b15b |
completed | May 6, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb5a9abd88190b06abae5c7eff647 |
completed | May 6, 2026, 9:42 p.m. |
Created at: April 9, 2026, 10:19 p.m.