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.