Triple
T12093161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Calfan |
E287998
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Ofenbach
Ofenbach is a French DJ and electronic music duo known for their deep house and pop-influenced dance tracks such as "Be Mine" and "Katchi."
|
E976415
|
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: Ofenbach | Statement: [Michael Calfan, associatedAct, Ofenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ofenbach Context triple: [Michael Calfan, associatedAct, Ofenbach]
-
A.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
B.
Butschbach
Butschbach is a small locality or district that forms part of the town of Oberkirch in southwestern Germany.
-
C.
Gengenbach
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
-
D.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
E.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
- 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: Ofenbach Triple: [Michael Calfan, associatedAct, Ofenbach]
Generated description
Ofenbach is a French DJ and electronic music duo known for their deep house and pop-influenced dance tracks such as "Be Mine" and "Katchi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ofenbach Target entity description: Ofenbach is a French DJ and electronic music duo known for their deep house and pop-influenced dance tracks such as "Be Mine" and "Katchi."
-
A.
Beutelsbach
Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
-
B.
Butschbach
Butschbach is a small locality or district that forms part of the town of Oberkirch in southwestern Germany.
-
C.
Gengenbach
Gengenbach is a historic town in Germany’s Black Forest region, known for its well-preserved medieval old town and picturesque half-timbered houses.
-
D.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
E.
Baesweiler
Baesweiler is a small town in western Germany’s North Rhine-Westphalia, situated near the city of Aachen and known for its historical ties to coal mining and regional industry.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e42cd588190835b3e8160bdbba5 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61fd2429c8190a8a7c46c312e262d |
completed | May 2, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623f5aa608190bce3e62e08077216 |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.