Triple
T19313037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hochschule für Musik Franz Liszt, Weimar |
E483018
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Michael Gielen
Michael Gielen was a renowned Austrian conductor and composer celebrated for his interpretations of contemporary and 20th-century classical music.
|
E1369754
|
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: Michael Gielen | Statement: [Hochschule für Musik Franz Liszt, Weimar, hasNotableAlumni, Michael Gielen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Gielen Context triple: [Hochschule für Musik Franz Liszt, Weimar, hasNotableAlumni, Michael Gielen]
-
A.
Mark Verheiden
Mark Verheiden is an American writer and producer known for his work in comics, film, and television, including contributions to genre projects like Timecop, Battlestar Galactica, and Smallville.
-
B.
Eric Boltjes
Eric Boltjes is a video game designer best known for his work on the acclaimed action role-playing game Horizon Zero Dawn.
-
C.
Michael Mertens
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
-
D.
Michael Mertens
Michael Mertens is a member of the German industrial metal band Propaganda.
-
E.
Tom Veldkamp
Tom Veldkamp is a Dutch academic and professor who serves as rector magnificus (chief academic officer) of the University of Twente.
- 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: Michael Gielen Triple: [Hochschule für Musik Franz Liszt, Weimar, hasNotableAlumni, Michael Gielen]
Generated description
Michael Gielen was a renowned Austrian conductor and composer celebrated for his interpretations of contemporary and 20th-century classical music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Gielen Target entity description: Michael Gielen was a renowned Austrian conductor and composer celebrated for his interpretations of contemporary and 20th-century classical music.
-
A.
Mark Verheiden
Mark Verheiden is an American writer and producer known for his work in comics, film, and television, including contributions to genre projects like Timecop, Battlestar Galactica, and Smallville.
-
B.
Eric Boltjes
Eric Boltjes is a video game designer best known for his work on the acclaimed action role-playing game Horizon Zero Dawn.
-
C.
Michael Mertens
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
-
D.
Michael Mertens
Michael Mertens is a member of the German industrial metal band Propaganda.
-
E.
Tom Veldkamp
Tom Veldkamp is a Dutch academic and professor who serves as rector magnificus (chief academic officer) of the University of Twente.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cf25c081908a30814b15d78c25 |
completed | April 20, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07145fa1e881909813ed6825d38e2c |
completed | May 15, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_6a0714eb6a0c8190bec7ae8ef785a4ab |
completed | May 15, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0718ee8adc8190a74685f9783ba5d5 |
completed | May 15, 2026, 1 p.m. |
Created at: April 10, 2026, 1:32 p.m.