Triple
T13600966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matangi |
E324938
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Surkin
Surkin is a French electronic music producer and DJ known for his energetic house and electro tracks and work with the Marble and Institubes labels.
|
E1049241
|
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: Surkin | Statement: [Matangi, producer, Surkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surkin Context triple: [Matangi, producer, Surkin]
-
A.
Sokar
Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
-
B.
Sorauren
Sorauren is a village in northern Spain, near Pamplona in Navarre, known as a historic battlefield site from the Peninsular War.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Sinnuris
Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
-
E.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
- 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: Surkin Triple: [Matangi, producer, Surkin]
Generated description
Surkin is a French electronic music producer and DJ known for his energetic house and electro tracks and work with the Marble and Institubes labels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Surkin Target entity description: Surkin is a French electronic music producer and DJ known for his energetic house and electro tracks and work with the Marble and Institubes labels.
-
A.
Sokar
Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
-
B.
Sorauren
Sorauren is a village in northern Spain, near Pamplona in Navarre, known as a historic battlefield site from the Peninsular War.
-
C.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
D.
Sinnuris
Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
-
E.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bcc1ed88190bbf6c83001703b84 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f776449724819096d5363184839e66 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792110e48190a29b6e89c6ebcc03 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.