Triple

T9711002
Position Surface form Disambiguated ID Type / Status
Subject Aalto E235021 entity
Predicate usedBy P260 FINISHED
Object Aino Aalto E236111 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: Aino Aalto | Statement: [Aalto, usedBy, Aino Aalto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aino Aalto
Context triple: [Aalto, usedBy, Aino Aalto]
  • A. Aino Aalto chosen
    Aino Aalto was a Finnish architect and designer known for her pioneering modernist glassware and furniture designs, and for her influential collaboration in architecture and design with her husband Alvar Aalto.
  • B. Alvar Aalto
    Alvar Aalto was a pioneering Finnish architect and designer known for his humanistic modernist buildings and influential furniture designs.
  • C. Heikki Saarinen
    Heikki Saarinen was the son of renowned Finnish architect Eliel Saarinen.
  • D. Eliel Saarinen
    Eliel Saarinen was a Finnish-American architect and urban planner renowned for his influential early modernist designs, including the Helsinki Central railway station and his work at the Cranbrook Academy of Art.
  • E. Elissa Aalto
    Elissa Aalto was a Finnish architect and designer who collaborated closely with her husband Alvar Aalto and later played a key role in preserving and continuing his architectural legacy.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc0117c8190bc82a985ce59623d completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:19 p.m.