Triple

T15715536
Position Surface form Disambiguated ID Type / Status
Subject Helmut Lotti E380949 entity
Predicate name P16 FINISHED
Object Helmut Lotti E380949 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: Helmut Lotti | Statement: [Helmut Lotti, name, Helmut Lotti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helmut Lotti
Context triple: [Helmut Lotti, name, Helmut Lotti]
  • A. Helmut Lotti chosen
    Helmut Lotti is a Belgian singer and performer known for his classical crossover albums and multilingual interpretations of popular and traditional songs.
  • B. Erich Löwenhardt
    Erich Löwenhardt was a German World War I fighter ace credited with over 50 aerial victories and recognized as one of the leading pilots of the Luftstreitkräfte.
  • C. Oskar Pfister
    Oskar Pfister was a Swiss Reformed pastor and pioneering psychoanalyst known for integrating Freudian psychoanalysis with Christian theology and pastoral care.
  • D. Otto Schenk
    Otto Schenk is an Austrian actor, director, and comedian renowned for his work in theater and opera, particularly at the Vienna State Opera and the Metropolitan Opera.
  • E. Erich Hoeber
    Erich Hoeber is an American screenwriter best known for co-writing the action films "Red" and "Battleship."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014134601c81909f7f4a95d558e067 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 4:45 a.m.