Triple

T21194632
Position Surface form Disambiguated ID Type / Status
Subject Erwin Stein E522295 entity
Predicate birthName P65 FINISHED
Object Erwin Stein NE NERFINISHED

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: Erwin Stein | Statement: [Erwin Stein, birthName, Erwin Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erwin Stein
Context triple: [Erwin Stein, birthName, Erwin Stein]
  • A. Erwin Stein chosen
    Erwin Stein was a German-born music editor, writer, and close associate of composer Arnold Schoenberg, known for his influential work in promoting and explaining modernist music.
  • B. Erwin Bach
    Erwin Bach is a German music executive and producer best known as the longtime partner and later husband of singer Tina Turner.
  • C. Wilhelm Hans Steinberg
    Wilhelm Hans Steinberg was a German-American conductor renowned for his precise, disciplined interpretations and leadership of major orchestras, including the Pittsburgh Symphony Orchestra and the Boston Symphony Orchestra.
  • D. Fritz Knoechlein
    Fritz Knoechlein was a German Waffen-SS officer executed after World War II for his role in the Le Paradis massacre, in which British prisoners of war were murdered in 1940.
  • E. Herbert Viola
    Herbert Viola is a quirky, well-meaning junior detective and comic relief character from the 1980s television series "Moonlighting."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.