Triple

T15282557
Position Surface form Disambiguated ID Type / Status
Subject Jean-Baptiste Salzmann E365305 entity
Predicate familyName P18 FINISHED
Object Salzmann E74106 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: Salzmann | Statement: [Jean-Baptiste Salzmann, familyName, Salzmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salzmann
Context triple: [Jean-Baptiste Salzmann, familyName, Salzmann]
  • A. Salzmann chosen
    Salzmann is a German surname of likely occupational or locational origin, historically borne by various notable figures in fields such as education, theology, and the arts.
  • B. Salzman
    Salzman is the surname of Linda Salzman Sagan, an American artist and writer known for co-designing the Pioneer plaque sent into space.
  • C. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Lebzelter
    Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef773bc4819083c9a86543659aa9 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.