Triple
T8341793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Bell |
E195933
|
entity |
| Predicate | studiedUnder |
P7251
|
FINISHED |
| Object |
Josef Gingold
Josef Gingold was a renowned 20th-century violinist and influential pedagogue, celebrated for his refined musicianship and for mentoring many leading violinists.
|
E730319
|
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: Josef Gingold | Statement: [Joshua Bell, studiedUnder, Josef Gingold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josef Gingold Context triple: [Joshua Bell, studiedUnder, Josef Gingold]
-
A.
Emil Einhorn
Emil Einhorn is known as the son of prominent American hedge fund manager and Greenlight Capital founder David Einhorn.
-
B.
Edwin Schloss
Edwin Schloss is known primarily as the son of renowned value investor Walter Schloss.
-
C.
Gil Goldschein
Gil Goldschein is a television producer and media executive best known for his work on reality TV series, including projects in the Kardashian franchise.
-
D.
Siegfried Weiss
Siegfried Weiss was a German actor known for his roles in mid-20th-century German cinema and theater.
-
E.
Charles Fleischer
Charles Fleischer is an American actor and comedian best known as the voice of Roger Rabbit and several other characters in the film "Who Framed Roger Rabbit."
- 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: Josef Gingold Triple: [Joshua Bell, studiedUnder, Josef Gingold]
Generated description
Josef Gingold was a renowned 20th-century violinist and influential pedagogue, celebrated for his refined musicianship and for mentoring many leading violinists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josef Gingold Target entity description: Josef Gingold was a renowned 20th-century violinist and influential pedagogue, celebrated for his refined musicianship and for mentoring many leading violinists.
-
A.
Emil Einhorn
Emil Einhorn is known as the son of prominent American hedge fund manager and Greenlight Capital founder David Einhorn.
-
B.
Edwin Schloss
Edwin Schloss is known primarily as the son of renowned value investor Walter Schloss.
-
C.
Gil Goldschein
Gil Goldschein is a television producer and media executive best known for his work on reality TV series, including projects in the Kardashian franchise.
-
D.
Siegfried Weiss
Siegfried Weiss was a German actor known for his roles in mid-20th-century German cinema and theater.
-
E.
Charles Fleischer
Charles Fleischer is an American actor and comedian best known as the voice of Roger Rabbit and several other characters in the film "Who Framed Roger Rabbit."
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fe9efec81908e0c9ded3963bac5 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde79e916c8190afc90c3b12c68caf |
completed | April 2, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69cdec234ad8819080868076efdbe22c |
completed | April 2, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdecc83e408190b9ba1dc8acf5081b |
completed | April 2, 2026, 4:12 a.m. |
Created at: March 30, 2026, 5:58 p.m.