Triple

T18982541
Position Surface form Disambiguated ID Type / Status
Subject Feldhendler E464465 entity
Predicate notableBearer P458 FINISHED
Object Leon Feldhendler NE NERFINISHED

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: [Feldhendler, notableBearer, Leon Feldhendler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Feldhendler
Context triple: [Feldhendler, notableBearer, 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. Len Fichtelberg
    Len Fichtelberg was a music industry executive best known as the founder of the influential hip-hop label Cold Chillin' Records.
  • C. Walter Feldman
    Walter Feldman is a Brazilian painter, printmaker, and sculptor known for his contributions to modern and contemporary art in Brazil.
  • D. Leon Berkowitz
    Leon Berkowitz was an American abstract painter associated with the Washington Color School, known for his luminous color fields and atmospheric explorations of light.
  • E. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.