Triple

T12974140
Position Surface form Disambiguated ID Type / Status
Subject Compasso d’Oro E321476 entity
Predicate notableRecipient P108 FINISHED
Object Olivetti E356800 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: Olivetti | Statement: [Compasso d’Oro, notableRecipient, Olivetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivetti
Context triple: [Compasso d’Oro, notableRecipient, Olivetti]
  • A. Olivetti chosen
    Olivetti is an Italian technology company historically known for its typewriters, computers, and design-led office equipment.
  • B. Raimondi
    Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
  • C. Xerox
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • D. Remington Rand
    Remington Rand was a major American business machines and early computer manufacturer, best known for producing the UNIVAC, one of the first commercial computers.
  • E. Kartell
    Kartell is an Italian design company renowned for its innovative, often colorful furniture and home accessories made primarily from plastic, created in collaboration with prominent designers.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.