Triple
T17360597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadmau5 |
E422056
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Faxing Berlin |
—
|
NE ONDG |
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: Faxing Berlin | Statement: [Deadmau5, notableWork, Faxing Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faxing Berlin Context triple: [Deadmau5, notableWork, Faxing Berlin]
-
A.
SMS Berlin
SMS Berlin was a German light cruiser of the Imperial Navy that served in the early 20th century, including during international tensions such as the Second Moroccan Crisis.
-
B.
New Berlin
New Berlin is a small village in Sangamon County, Illinois, located near Springfield and known for its rural Midwestern character.
-
C.
New Berlin
New Berlin is a suburban city in Waukesha County, Wisconsin, located just west of Milwaukee and known for its residential communities and light industry.
-
D.
Buch, Berlin
Buch, Berlin is a northeastern district of Berlin known for its large medical and research campus, extensive green spaces, and historic sanatorium complexes.
-
E.
Berlin AB
Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city and surrounding urban areas served by the Verkehrsverbund Berlin-Brandenburg (VBB).
- 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: Faxing Berlin Triple: [Deadmau5, notableWork, Faxing Berlin]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faxing Berlin Target entity description: "Faxing Berlin" is a progressive house track by Canadian electronic music producer Deadmau5 that helped establish his signature melodic style and international recognition.
-
A.
SMS Berlin
SMS Berlin was a German light cruiser of the Imperial Navy that served in the early 20th century, including during international tensions such as the Second Moroccan Crisis.
-
B.
New Berlin
New Berlin is a small village in Sangamon County, Illinois, located near Springfield and known for its rural Midwestern character.
-
C.
New Berlin
New Berlin is a suburban city in Waukesha County, Wisconsin, located just west of Milwaukee and known for its residential communities and light industry.
-
D.
Buch, Berlin
Buch, Berlin is a northeastern district of Berlin known for its large medical and research campus, extensive green spaces, and historic sanatorium complexes.
-
E.
Berlin AB
Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city and surrounding urban areas served by the Verkehrsverbund Berlin-Brandenburg (VBB).
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.