Triple

T12429579
Position Surface form Disambiguated ID Type / Status
Subject Christian Ernst von Morgenstern E296990 entity
Predicate familyName P18 FINISHED
Object Morgenstern E21674 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: Morgenstern | Statement: [Christian Ernst von Morgenstern, familyName, Morgenstern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgenstern
Context triple: [Christian Ernst von Morgenstern, familyName, Morgenstern]
  • A. Morgenstern chosen
    Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
  • B. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • C. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • D. Klostermann
    Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
  • E. Estermann
    Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349b075c8190b77cd51bc45be8ef completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.