Triple

T16197816
Position Surface form Disambiguated ID Type / Status
Subject Boston Public E393112 entity
Predicate portrayedBy P1507 FINISHED
Object Fyvush Finkel E954073 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: Fyvush Finkel | Statement: [Boston Public, portrayedBy, Fyvush Finkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyvush Finkel
Context triple: [Boston Public, portrayedBy, Fyvush Finkel]
  • A. Fyvush Finkel chosen
    Fyvush Finkel was an American actor and comedian best known for his work in Yiddish theater and his Emmy-winning role on the television series "Picket Fences."
  • B. Louis Garfinkle
    Louis Garfinkle was an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
  • C. Herb Gingold
    Herb Gingold is a fictional character appearing in the science fiction novel "Donovan's Brain."
  • D. Leo Margulies
    Leo Margulies was an American editor and publisher best known for his influential work in pulp magazines and science fiction anthologies during the mid-20th century.
  • E. Phil Feldman
    Phil Feldman was an American film producer best known for his work on influential Hollywood films of the 1960s and 1970s.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dc6b1c8190a3d8a6451ed8b95a completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.