Triple
T12694698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny Davies |
E303299
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Hochschule für Musik und Darstellende Kunst Frankfurt am Main
The Hochschule für Musik und Darstellende Kunst Frankfurt am Main is a renowned German conservatory in Frankfurt specializing in higher education and professional training in music, theater, and performing arts.
|
E998243
|
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: Hochschule für Musik und Darstellende Kunst Frankfurt am Main | Statement: [Fanny Davies, educatedAt, Hochschule für Musik und Darstellende Kunst Frankfurt am Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochschule für Musik und Darstellende Kunst Frankfurt am Main Context triple: [Fanny Davies, educatedAt, Hochschule für Musik und Darstellende Kunst Frankfurt am Main]
-
A.
Hochschule für Musik und Theater München
The Hochschule für Musik und Theater München is a renowned German conservatory in Munich specializing in advanced education in music, theater, and the performing arts.
-
B.
Hochschule für Musik Berlin
Hochschule für Musik Berlin is a renowned German music conservatory in Berlin, known for training prominent classical musicians and composers.
-
C.
Karlsruhe University of Music
Karlsruhe University of Music is a German higher education institution specializing in music performance, education, and research, located in the city of Karlsruhe.
-
D.
Hochschule für Musik Hanns Eisler Berlin
The Hochschule für Musik Hanns Eisler Berlin is a renowned German conservatory in Berlin specializing in advanced training for musicians, composers, and conductors.
-
E.
Freiburg University of Music
Freiburg University of Music is a renowned German conservatory in Freiburg im Breisgau, known for its high-level training in classical and contemporary music performance, composition, and music education.
- 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: Hochschule für Musik und Darstellende Kunst Frankfurt am Main Triple: [Fanny Davies, educatedAt, Hochschule für Musik und Darstellende Kunst Frankfurt am Main]
Generated description
The Hochschule für Musik und Darstellende Kunst Frankfurt am Main is a renowned German conservatory in Frankfurt specializing in higher education and professional training in music, theater, and performing arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochschule für Musik und Darstellende Kunst Frankfurt am Main Target entity description: The Hochschule für Musik und Darstellende Kunst Frankfurt am Main is a renowned German conservatory in Frankfurt specializing in higher education and professional training in music, theater, and performing arts.
-
A.
Hochschule für Musik und Theater München
The Hochschule für Musik und Theater München is a renowned German conservatory in Munich specializing in advanced education in music, theater, and the performing arts.
-
B.
Hochschule für Musik Berlin
Hochschule für Musik Berlin is a renowned German music conservatory in Berlin, known for training prominent classical musicians and composers.
-
C.
Karlsruhe University of Music
Karlsruhe University of Music is a German higher education institution specializing in music performance, education, and research, located in the city of Karlsruhe.
-
D.
Hochschule für Musik Hanns Eisler Berlin
The Hochschule für Musik Hanns Eisler Berlin is a renowned German conservatory in Berlin specializing in advanced training for musicians, composers, and conductors.
-
E.
Freiburg University of Music
Freiburg University of Music is a renowned German conservatory in Freiburg im Breisgau, known for its high-level training in classical and contemporary music performance, composition, and music education.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671ae935c8190a7fc2cf3c0987248 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 9, 2026, 5:22 p.m.