Triple

T9006041
Position Surface form Disambiguated ID Type / Status
Subject Leon Fleisher E215145 entity
Predicate familyName P18 FINISHED
Object Fleisher
Fleisher is a surname most notably associated with Leon Fleisher, the acclaimed American pianist and conductor.
E770713 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: Fleisher | Statement: [Leon Fleisher, familyName, Fleisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleisher
Context triple: [Leon Fleisher, familyName, Fleisher]
  • A. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • B. Feigel
    Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
  • C. Fleischer
    Fleischer is a surname of German origin borne by various notable individuals across different fields.
  • D. Pincus
    Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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: Fleisher
Triple: [Leon Fleisher, familyName, Fleisher]
Generated description
Fleisher is a surname most notably associated with Leon Fleisher, the acclaimed American pianist and conductor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fleisher
Target entity description: Fleisher is a surname most notably associated with Leon Fleisher, the acclaimed American pianist and conductor.
  • A. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • B. Feigel
    Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
  • C. Fleischer
    Fleischer is a surname of German origin borne by various notable individuals across different fields.
  • D. Pincus
    Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bc6e208190b0c01e3761c04799 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e7f090819093c7af51c3979978 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd17e5850819087fbb60fdc612fd9 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd215204c8190886cc071f100aab6 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:05 p.m.