Triple
T10072703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Graffman |
E213668
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Graffman
Graffman is the surname of Gary Graffman, an American classical pianist, teacher, and former president of the Curtis Institute of Music.
|
E839696
|
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: Graffman | Statement: [Gary Graffman, familyName, Graffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graffman Context triple: [Gary Graffman, familyName, Graffman]
-
A.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
B.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
C.
Jaffe
Jaffe is a surname most notably associated with American film producer Stanley R. Jaffe, known for his work on acclaimed movies such as "Kramer vs. Kramer."
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Feigel
Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
- 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: Graffman Triple: [Gary Graffman, familyName, Graffman]
Generated description
Graffman is the surname of Gary Graffman, an American classical pianist, teacher, and former president of the Curtis Institute of Music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graffman Target entity description: Graffman is the surname of Gary Graffman, an American classical pianist, teacher, and former president of the Curtis Institute of Music.
-
A.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
B.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
C.
Jaffe
Jaffe is a surname most notably associated with American film producer Stanley R. Jaffe, known for his work on acclaimed movies such as "Kramer vs. Kramer."
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Feigel
Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29d670ce881909e9881235790d9ff |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e0779608190828c81cc8868bae2 |
completed | April 5, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:59 p.m.