Triple

T8523591
Position Surface form Disambiguated ID Type / Status
Subject Karl Sigmund E201756 entity
Predicate name P16 FINISHED
Object Karl Sigmund E201756 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: Karl Sigmund | Statement: [Karl Sigmund, name, Karl Sigmund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Sigmund
Context triple: [Karl Sigmund, name, Karl Sigmund]
  • A. Karl Sigmund chosen
    Karl Sigmund is an Austrian mathematician renowned for his work in dynamical systems, evolutionary game theory, and the history of mathematics.
  • B. Eugen Schüfftan
    Eugen Schüfftan was a German cinematographer and visual effects pioneer, best known for developing the Schüfftan process and for his influential work on both European and Hollywood films.
  • C. Joseph Böhm
    Joseph Böhm was a prominent 19th-century Austrian violinist and influential teacher who helped shape the Viennese violin school and taught notable pupils such as Joseph Joachim.
  • D. Karl Straube
    Karl Straube was a prominent German organist, choral conductor, and influential interpreter of Bach and Reger who served as Thomaskantor in Leipzig.
  • E. Rainer Schnitzler
    Rainer Schnitzler is a German local politician who serves as the mayor of the Bavarian municipality of Pöcking.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64362c88190b978a2544eec6e3e completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb6855ec8190a85e5afeb656ee7d completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:16 p.m.