Triple

T10130746
Position Surface form Disambiguated ID Type / Status
Subject Hanno Hahn E226330 entity
Predicate name P16 FINISHED
Object Hanno Hahn E226330 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: Hanno Hahn | Statement: [Hanno Hahn, name, Hanno Hahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanno Hahn
Context triple: [Hanno Hahn, name, Hanno Hahn]
  • A. Hanno Hahn chosen
    Hanno Hahn was a German art historian and son of Nobel Prize–winning chemist Otto Hahn, known for his work on Renaissance and Baroque architecture before his early death in a car accident.
  • B. Hans Goerke
    Hans Goerke was the original owner and namesake of the historic Goerke House.
  • C. Marius Hahn
    Marius Hahn is a German local politician who serves as the mayor of the town of Limburg an der Lahn in Hesse.
  • D. Luc Hoffmann
    Luc Hoffmann was a Swiss ornithologist, conservationist, and philanthropist who co-founded the World Wildlife Fund and played a major role in international nature conservation efforts.
  • E. Felix Steiner
    Felix Steiner was a high-ranking German SS commander during World War II who led several Waffen-SS formations on the Eastern and Western Fronts.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354f0def48190bd5fcd5820459893 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9:05 p.m.