Triple

T4889036
Position Surface form Disambiguated ID Type / Status
Subject Fritz Bernstein E109511 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: [Fritz Bernstein, familyName, Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernstein
Context triple: [Fritz 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. Strauss
    Strauss is a common German surname borne by numerous notable figures in fields such as music, politics, and literature.
  • C. 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.
  • D. Steven Bernstein
    Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
  • E. Schönberg
    Schönberg is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.