Triple

T19788596
Position Surface form Disambiguated ID Type / Status
Subject Berger E475344 entity
Predicate hasNotableBearer P458 FINISHED
Object Raoul Berger — NE NERFINISHED

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: Raoul Berger | Statement: [Berger, hasNotableBearer, Raoul Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raoul Berger
Context triple: [Berger, hasNotableBearer, Raoul Berger]
  • A. Philip B. Heymann
    Philip B. Heymann was an American legal scholar and former high-ranking U.S. Justice Department official known for his work in criminal law, national security, and public service.
  • B. Lewis J. Perelman
    Lewis J. Perelman is an American author and policy analyst known for his work on education reform, technology, and economic competitiveness.
  • C. Karl Llewellyn
    Karl Llewellyn was a prominent 20th-century American legal scholar and leading figure of the legal realism movement, known especially for his role in drafting the Uniform Commercial Code.
  • D. Geoffrey Arend
    Geoffrey Arend is an American actor known for his character roles in film and television, including a prominent part on the political drama series "Madam Secretary."
  • E. Edward Schempp
    Edward Schempp was the lead plaintiff in the landmark U.S. Supreme Court case Abington School District v. Schempp, which challenged mandatory Bible readings in public schools and helped establish stronger separation of church and state.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raoul Berger
Target entity description: Raoul Berger was an American legal scholar known for his influential originalist critiques of judicial activism and constitutional interpretation.
  • A. Philip B. Heymann
    Philip B. Heymann was an American legal scholar and former high-ranking U.S. Justice Department official known for his work in criminal law, national security, and public service.
  • B. Lewis J. Perelman
    Lewis J. Perelman is an American author and policy analyst known for his work on education reform, technology, and economic competitiveness.
  • C. Karl Llewellyn
    Karl Llewellyn was a prominent 20th-century American legal scholar and leading figure of the legal realism movement, known especially for his role in drafting the Uniform Commercial Code.
  • D. Geoffrey Arend
    Geoffrey Arend is an American actor known for his character roles in film and television, including a prominent part on the political drama series "Madam Secretary."
  • E. Edward Schempp
    Edward Schempp was the lead plaintiff in the landmark U.S. Supreme Court case Abington School District v. Schempp, which challenged mandatory Bible readings in public schools and helped establish stronger separation of church and state.
  • F. None of above. chosen

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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389c9ac81909e61b3cbb9213e72 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.