Triple

T9468655
Position Surface form Disambiguated ID Type / Status
Subject Becher School of photography E228336 entity
Predicate hasNotableMember P304 FINISHED
Object Axel Hütte E471287 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: Axel Hütte | Statement: [Becher School of photography, hasNotableMember, Axel Hütte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Axel Hütte
Context triple: [Becher School of photography, hasNotableMember, Axel Hütte]
  • A. Axel Hütte chosen
    Axel Hütte is a German photographer known for his large-format, meticulously composed architectural and landscape images associated with the Düsseldorf School of Photography.
  • B. Rutishauser
    Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
  • C. Auerberg
    Auerberg is a mountain and historical site in Bavaria, Germany, known for its scenic views and the pilgrimage church of St. George near its summit.
  • D. Habach
    Habach is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural character and Alpine foothill setting.
  • E. Heinrich Schnee
    Heinrich Schnee was a German colonial administrator best known as the last governor of German East Africa during World War I.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdf604481909bf7d7d477230ca3 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122c45ae88190a43d70300bed98da completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:53 p.m.