Triple

T15128602
Position Surface form Disambiguated ID Type / Status
Subject Theodor Leschetizky E361356 entity
Predicate studentOf P48 FINISHED
Object Simon Sechter E548893 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: Simon Sechter | Statement: [Theodor Leschetizky, studentOf, Simon Sechter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Sechter
Context triple: [Theodor Leschetizky, studentOf, Simon Sechter]
  • A. Simon Sechter chosen
    Simon Sechter was a 19th-century Austrian music theorist, composer, and influential teacher of counterpoint, best known for mentoring composers such as Anton Bruckner.
  • B. Carl Hilpert
    Carl Hilpert was a German Wehrmacht general during World War II who held several high-level commands on the Eastern Front.
  • C. Stephan Eberharter
    Stephan Eberharter is a retired Austrian alpine ski racer who became one of the world’s top competitors in the late 1990s and early 2000s, winning multiple World Cup titles and Olympic medals.
  • D. Wolfgang Sattler
    Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
  • E. Simon Grunau
    Simon Grunau was a 16th-century chronicler whose writings are a key, though sometimes unreliable, source on Old Prussian language and Prussian history.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.