Triple

T6155139
Position Surface form Disambiguated ID Type / Status
Subject Christian Matthias Theodor Mommsen E137300 entity
Predicate child P120 FINISHED
Object Hans Mommsen E552931 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: Hans Mommsen | Statement: [Christian Matthias Theodor Mommsen, child, Hans Mommsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Mommsen
Context triple: [Christian Matthias Theodor Mommsen, child, Hans Mommsen]
  • A. Hans Mommsen chosen
    Hans Mommsen was a prominent German historian best known for his influential work on the political and social history of Nazi Germany and the Holocaust.
  • B. Wolfgang Mommsen
    Wolfgang Mommsen was a prominent German historian known for his influential scholarship on modern German history and Max Weber.
  • C. Konrad Mommsen
    Konrad Mommsen was a German classical scholar and historian, known for his contributions to the study of ancient history and philology.
  • D. Gerhard Doerfer
    Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
  • E. Friedrich L. Bauer
    Friedrich L. Bauer was a German computer scientist and pioneer in programming language design, notably contributing to the development of ALGOL 60 and foundational concepts in software engineering.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d01ddb0819085b5f5338b86a25d completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ed4abc88190993cfd4ef4f2862e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:17 p.m.