Triple

T18783334
Position Surface form Disambiguated ID Type / Status
Subject Heinz von Foerster E459312 entity
Predicate influenced P9 FINISHED
Object Niklas Luhmann 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: Niklas Luhmann | Statement: [Heinz von Foerster, influenced, Niklas Luhmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niklas Luhmann
Context triple: [Heinz von Foerster, influenced, Niklas Luhmann]
  • A. Niklas Luhmann chosen
    Niklas Luhmann was a German sociologist and social systems theorist known for developing a comprehensive theory of society based on the concept of self-referential social systems.
  • B. Ulrich Beck
    Ulrich Beck was a German sociologist best known for his influential theory of the "risk society," analyzing how modernity produces and manages global risks.
  • C. Jürgen Habermas
    Jürgen Habermas is a German philosopher and social theorist known for his work on communicative rationality, the public sphere, and deliberative democracy.
  • D. Eugene Feenberg
    Eugene Feenberg was an American theoretical physicist known for his contributions to nuclear many-body theory and the development of variational methods in quantum mechanics.
  • E. Loet Leydesdorff
    Loet Leydesdorff is a prominent scholar in scientometrics and the study of science, technology, and innovation systems, known for his influential work on citation analysis and the dynamics of knowledge production.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977f34e48190a9932af330ea4f92 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.