Triple
T9500731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menahem Pressler |
E229131
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pressler
Pressler is a German-born American pianist renowned as the founding member and longtime pianist of the Beaux Arts Trio.
|
E802577
|
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: Pressler | Statement: [Menahem Pressler, familyName, Pressler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pressler Context triple: [Menahem Pressler, familyName, Pressler]
-
A.
Purtscheller
Purtscheller is a German-language surname most notably associated with Austrian mountaineer Ludwig Purtscheller, a pioneer of Alpine climbing.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Cressner
Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
-
D.
Pressac
Pressac is a traditional French name for the Malbec grape variety, widely used in red wines from regions such as Cahors and Bordeaux.
-
E.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
- 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: Pressler Triple: [Menahem Pressler, familyName, Pressler]
Generated description
Pressler is a German-born American pianist renowned as the founding member and longtime pianist of the Beaux Arts Trio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pressler Target entity description: Pressler is a German-born American pianist renowned as the founding member and longtime pianist of the Beaux Arts Trio.
-
A.
Purtscheller
Purtscheller is a German-language surname most notably associated with Austrian mountaineer Ludwig Purtscheller, a pioneer of Alpine climbing.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Cressner
Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
-
D.
Pressac
Pressac is a traditional French name for the Malbec grape variety, widely used in red wines from regions such as Cahors and Bordeaux.
-
E.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d439c6881909832afcc1154bca8 |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12db5c20881909a7011a3d25dd2b8 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4f1b9081908e73aa674d1ef0e4 |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:57 p.m.