Triple

T15115399
Position Surface form Disambiguated ID Type / Status
Subject Otto Aicher E361023 entity
Predicate name P16 FINISHED
Object Otto Aicher E361023 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: Otto Aicher | Statement: [Otto Aicher, name, Otto Aicher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto Aicher
Context triple: [Otto Aicher, name, Otto Aicher]
  • A. Otto Aicher chosen
    Otto "Otl" Aicher was a renowned German graphic designer best known for his influential work on visual identity systems, including the 1972 Munich Olympics pictograms.
  • B. Othmar Zeidler
    Othmar Zeidler was an Austrian chemist best known for first synthesizing the insecticide DDT in the 19th century.
  • C. Werner March
    Werner March was a German architect best known for designing Berlin’s Olympic Stadium for the 1936 Summer Olympics.
  • D. Wulf Behrens
    Wulf Behrens is a person notable enough to be recognized as a bearer of the surname Behrens, though specific public details about his life or achievements are not widely documented.
  • E. Helmut Huber
    Helmut Huber was an Austrian-born chef and television producer best known as the longtime husband and manager of American actress Susan Lucci.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec87ce9808190a862ac5839272711 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:05 a.m.