Triple

T7675485
Position Surface form Disambiguated ID Type / Status
Subject Ashkenazi surnames E173849 entity
Predicate exampleOfHebrewDerivedName P60523 FINISHED
Object Cohen E109009 NE FINISHED

How this triple was built (3 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: Cohen | Statement: [Ashkenazi surnames, exampleOfHebrewDerivedName, Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cohen
Context triple: [Ashkenazi surnames, exampleOfHebrewDerivedName, Cohen]
  • A. Cohen chosen
    Cohen is a common Jewish surname of Hebrew origin historically associated with priestly lineage.
  • B. Cohn
    Cohn is a surname most prominently associated with Harry Cohn, the influential co-founder and longtime head of Columbia Pictures.
  • C. Cohen-Kagan
    Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
  • D. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • E. Genghis Cohen
    Genghis Cohen is a minor character in Thomas Pynchon's novel "The Crying of Lot 49," known as a philatelist who helps analyze the mysterious stamps central to the story's conspiracy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exampleOfHebrewDerivedName
Context triple: [Ashkenazi surnames, exampleOfHebrewDerivedName, Cohen]
  • A. hasNameInHebrew
    Indicates that an entity is associated with a specific name expressed in the Hebrew language.
  • B. hasJewishSurnameUsage
    Indicates that an entity uses or bears a surname that is of Jewish origin or commonly associated with Jewish heritage.
  • C. oftenRenderedFromHebrewTerm chosen
    Indicates that one term is frequently used as the translation or rendering of a corresponding term originating from Hebrew.
  • D. familyNameDerivedFrom
    Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
  • E. hasExampleSurname
    Indicates that an entity is associated with a sample or illustrative surname used as an example rather than a real or primary family name.
  • F. None of above.

Provenance (4 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7048b0b448190889bd40e0a38e51a completed March 27, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69c701618d3481908be84b76f36ac5a1 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4:01 p.m.