Triple

T22868922
Position Surface form Disambiguated ID Type / Status
Subject Oyneg Shabes Archive E567131 entity
Predicate hasContributor P4244 FINISHED
Object Dawid Graber 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: Dawid Graber | Statement: [Oyneg Shabes Archive, hasContributor, Dawid Graber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawid Graber
Context triple: [Oyneg Shabes Archive, hasContributor, Dawid Graber]
  • A. Dawid Graber chosen
    Dawid Graber was a young Jewish man in the Warsaw Ghetto who helped bury and preserve the clandestine Ringelblum Archive documenting Nazi atrocities during World War II.
  • B. Gabriel Mekler
    Gabriel Mekler was a rock music producer best known for shaping the sound of Steppenwolf and other late-1960s and early-1970s acts.
  • C. BenDavid Grabinski
    BenDavid Grabinski is an American screenwriter and filmmaker known for his work in genre films and television, including action-comedy and horror projects.
  • D. Julian Grobelny
    Julian Grobelny was a Polish social activist and resistance member who helped organize aid and rescue efforts for Jews during the Nazi occupation in World War II.
  • E. Daniel Grodnik
    Daniel Grodnik is an American film producer known for his work on action and genre films, including the 1989 movie "Blind Fury."
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f0384a88190a0fbf57b5dca8d5a completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.