Triple
T8469233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Wolf |
E200238
|
entity |
| Predicate | studentOf |
P48
|
FINISHED |
| Object |
Robert Fuchs
Robert Fuchs was an Austrian late-Romantic composer and influential music teacher in Vienna, known for mentoring many prominent composers of his time.
|
E740436
|
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: Robert Fuchs | Statement: [Hugo Wolf, studentOf, Robert Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fuchs Context triple: [Hugo Wolf, studentOf, Robert Fuchs]
-
A.
Alfred Koerner
Alfred Koerner was an architect known for his work on the Berlin Botanical Garden.
-
B.
Walter Schumann
Walter Schumann was an American composer and conductor best known for creating the iconic theme music for the television series Dragnet.
-
C.
Emil von Sauer
Emil von Sauer was a renowned late-Romantic German pianist, composer, and influential piano teacher, celebrated as one of Franz Liszt’s most distinguished students.
-
D.
Emanuel Fiedler
Emanuel Fiedler was the father of famed Boston Pops conductor Arthur Fiedler.
-
E.
Friedrich Fuchs
Friedrich Fuchs was a Nazi official prosecuted as a defendant in the RuSHA Trial for his involvement in racial policies and crimes during the Third Reich.
- 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: Robert Fuchs Triple: [Hugo Wolf, studentOf, Robert Fuchs]
Generated description
Robert Fuchs was an Austrian late-Romantic composer and influential music teacher in Vienna, known for mentoring many prominent composers of his time.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Fuchs Target entity description: Robert Fuchs was an Austrian late-Romantic composer and influential music teacher in Vienna, known for mentoring many prominent composers of his time.
-
A.
Alfred Koerner
Alfred Koerner was an architect known for his work on the Berlin Botanical Garden.
-
B.
Walter Schumann
Walter Schumann was an American composer and conductor best known for creating the iconic theme music for the television series Dragnet.
-
C.
Emil von Sauer
Emil von Sauer was a renowned late-Romantic German pianist, composer, and influential piano teacher, celebrated as one of Franz Liszt’s most distinguished students.
-
D.
Emanuel Fiedler
Emanuel Fiedler was the father of famed Boston Pops conductor Arthur Fiedler.
-
E.
Friedrich Fuchs
Friedrich Fuchs was a Nazi official prosecuted as a defendant in the RuSHA Trial for his involvement in racial policies and crimes during the Third Reich.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d5dd088190a79050417f527f14 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d019b748190a972ae32a56523c0 |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e66c5e48190badcc5e075892006 |
completed | April 2, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f0cc434819089e78d24dfee5361 |
completed | April 2, 2026, 1:28 p.m. |
Created at: March 30, 2026, 6:11 p.m.