Triple

T4369846
Position Surface form Disambiguated ID Type / Status
Subject Julius Bernstein E98868 entity
Predicate familyName P18 FINISHED
Object Bernstein E129138 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: Bernstein | Statement: [Julius Bernstein, familyName, Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernstein
Context triple: [Julius Bernstein, familyName, Bernstein]
  • A. Bernstein chosen
    Bernstein is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as journalism, music, mathematics, and the arts.
  • B. Julius Bernstein
    Julius Bernstein was a German physiologist best known for his pioneering work on the biophysics of nerve and muscle, including the development of the membrane theory of bioelectric potentials.
  • C. Steven Bernstein
    Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
  • D. Schönberg
    Schönberg is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • E. Alexander Bernstein
    Alexander Bernstein is an American educator and arts advocate, best known as the son of renowned composer and conductor Leonard Bernstein.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352052b388190b02cca9a3b480be4 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50838188190b5b698d4bd2b5784 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.