Triple
T17781462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schnabel |
E443908
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Max Schnabel
Max Schnabel was a German pianist and composer active in the early 20th century, known for his performances and contributions to classical music.
|
E1288666
|
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: Max Schnabel | Statement: [Schnabel, hasNotableBearer, Max Schnabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Schnabel Context triple: [Schnabel, hasNotableBearer, Max Schnabel]
-
A.
Michael Torke
Michael Torke is an American composer known for his rhythmically driven, color-inspired post-minimalist works that blend classical, jazz, and popular music influences.
-
B.
Max Zimmer
Max Zimmer is the child of Suzanne Zimmer.
-
C.
Benjamin Wallfisch
Benjamin Wallfisch is a British composer and conductor known for his atmospheric and suspenseful film scores, particularly in the horror and thriller genres.
-
D.
Paul Biss
Paul Biss is an American violinist, violist, and respected music educator known for his chamber music performances and long association with the Indiana University Jacobs School of Music.
-
E.
Marco Schnabel
Marco Schnabel is an American screenwriter and film director known for his work on adventure and comedy films.
- 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: Max Schnabel Triple: [Schnabel, hasNotableBearer, Max Schnabel]
Generated description
Max Schnabel was a German pianist and composer active in the early 20th century, known for his performances and contributions to classical music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Schnabel Target entity description: Max Schnabel was a German pianist and composer active in the early 20th century, known for his performances and contributions to classical music.
-
A.
Michael Torke
Michael Torke is an American composer known for his rhythmically driven, color-inspired post-minimalist works that blend classical, jazz, and popular music influences.
-
B.
Max Zimmer
Max Zimmer is the child of Suzanne Zimmer.
-
C.
Benjamin Wallfisch
Benjamin Wallfisch is a British composer and conductor known for his atmospheric and suspenseful film scores, particularly in the horror and thriller genres.
-
D.
Paul Biss
Paul Biss is an American violinist, violist, and respected music educator known for his chamber music performances and long association with the Indiana University Jacobs School of Music.
-
E.
Marco Schnabel
Marco Schnabel is an American screenwriter and film director known for his work on adventure and comedy films.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4872152508190870a1765e0972ec1 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f833fe708190bccfe236aee94b2a |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02fc2255008190834686f8dc9c33f9 |
completed | May 12, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fce3a4488190a1efd6d335706edf |
completed | May 12, 2026, 10:11 a.m. |
Created at: April 10, 2026, 10:12 a.m.