Triple

T4715245
Position Surface form Disambiguated ID Type / Status
Subject Leon Feldhendler E104620 entity
Predicate name P16 FINISHED
Object Leon Feldhendler E104620 NE FINISHED

How this triple was built (2 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: Leon Feldhendler | Statement: [Leon Feldhendler, name, Leon Feldhendler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Feldhendler
Context triple: [Leon Feldhendler, name, Leon Feldhendler]
  • A. Leon Feldhendler chosen
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • B. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • C. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • D. Henry Kolker
    Henry Kolker was an American stage and film actor and director active in the early 20th century, known for his character roles in both silent and sound films.
  • E. Guy Rothblum
    Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6408dc5c8190a8d6b1c1a3eba2df completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfce9ced708190b3ed8f9708c6f519 completed March 22, 2026, 11:12 a.m.
Created at: March 20, 2026, 1:18 p.m.