Triple

T21334634
Position Surface form Disambiguated ID Type / Status
Subject Carlo De Benedetti E526007 entity
Predicate employer P7 FINISHED
Object Olivetti NE NERFINISHED

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: [Carlo De Benedetti, employer, Olivetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivetti
Context triple: [Carlo De Benedetti, employer, Olivetti]
  • A. Olivetti chosen
    Olivetti is an Italian technology company historically known for its typewriters, computers, and design-led office equipment.
  • B. Olivetti Lettera 32
    The Olivetti Lettera 32 is a compact, portable mechanical typewriter from the 1960s renowned for its sleek Italian design, durability, and popularity among writers and journalists.
  • C. Olivetti M24
    The Olivetti M24 is a mid-1980s IBM PC-compatible personal computer known for its advanced graphics capabilities and widespread OEM rebranding, including as the AT&T 6300.
  • D. Raimondi
    Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
  • E. Xerox
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d602c08190821c63e0aff42fc2 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.