Triple
T8153367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unreal Unearth |
E190383
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bekon
Bekon is a music producer and songwriter known for his atmospheric, genre-blending work with prominent artists across hip hop and alternative music.
|
E717193
|
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: Bekon | Statement: [Unreal Unearth, producer, Bekon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bekon Context triple: [Unreal Unearth, producer, Bekon]
-
A.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
B.
Bekwarra
Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
-
C.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
D.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
E.
Berar
Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
- 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: Bekon Triple: [Unreal Unearth, producer, Bekon]
Generated description
Bekon is a music producer and songwriter known for his atmospheric, genre-blending work with prominent artists across hip hop and alternative music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bekon Target entity description: Bekon is a music producer and songwriter known for his atmospheric, genre-blending work with prominent artists across hip hop and alternative music.
-
A.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
B.
Bekwarra
Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
-
C.
Bösperde
Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
-
D.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
E.
Berar
Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d4494c8190aad2ee302e90670f |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0518688190b519fbe1823b95c2 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccd7ca966481909bd01c4bb7f525ee |
completed | April 1, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd93da8ec8190b343dd2d0b1aad54 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 5:37 p.m.