Triple

T15621428
Position Surface form Disambiguated ID Type / Status
Subject Marius Sophus Bethe E375563 entity
Predicate hasFamilyName P18 FINISHED
Object Bethe E75703 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: Bethe | Statement: [Marius Sophus Bethe, hasFamilyName, Bethe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethe
Context triple: [Marius Sophus Bethe, hasFamilyName, Bethe]
  • A. Bethe chosen
    Bethe is a surname most notably associated with Hans Bethe, the Nobel Prize–winning physicist who made foundational contributions to nuclear astrophysics and quantum mechanics.
  • B. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • C. Morgenstern
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • D. Betti
    Betti is a German diminutive given name, commonly used as a short form of Bettina.
  • E. Eckart
    Eckart is a German surname most notably associated with Dietrich Eckart, an early 20th-century nationalist writer and influential figure in the rise of Nazism.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3da754819085a6bd9876b12c65 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.