Triple
T5687373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anton Bruckner |
E125344
|
entity |
| Predicate | studentOf |
P48
|
FINISHED |
| Object |
Simon Sechter
Simon Sechter was a 19th-century Austrian music theorist, composer, and influential teacher of counterpoint, best known for mentoring composers such as Anton Bruckner.
|
E548893
|
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: Simon Sechter | Statement: [Anton Bruckner, studentOf, Simon Sechter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Sechter Context triple: [Anton Bruckner, studentOf, Simon Sechter]
-
A.
Carl Hilpert
Carl Hilpert was a German Wehrmacht general during World War II who held several high-level commands on the Eastern Front.
-
B.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
C.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
- 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: Simon Sechter Triple: [Anton Bruckner, studentOf, Simon Sechter]
Generated description
Simon Sechter was a 19th-century Austrian music theorist, composer, and influential teacher of counterpoint, best known for mentoring composers such as Anton Bruckner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simon Sechter Target entity description: Simon Sechter was a 19th-century Austrian music theorist, composer, and influential teacher of counterpoint, best known for mentoring composers such as Anton Bruckner.
-
A.
Carl Hilpert
Carl Hilpert was a German Wehrmacht general during World War II who held several high-level commands on the Eastern Front.
-
B.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
C.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023be18a081908c72fb5b0e1852f9 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097e2c0648190abedcd9ea463eb84 |
completed | March 23, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c098d889e08190adbd12504a7f3fa1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09990da18819099fdc8f25f2ddef2 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:44 p.m.