Triple

T10193604
Position Surface form Disambiguated ID Type / Status
Subject Osborne Smith E238101 entity
Predicate givenName P17 FINISHED
Object Osborne E107542 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: Osborne | Statement: [Osborne Smith, givenName, Osborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osborne
Context triple: [Osborne Smith, givenName, Osborne]
  • A. Osborne chosen
    Osborne is a surname of English origin borne by various notable individuals across history and contemporary culture.
  • B. Osborne
    Osborne is a former royal residence on the Isle of Wight that served as Queen Victoria and Prince Albert’s seaside retreat.
  • C. Osborne 1
    The Osborne 1 was an early 1980s portable microcomputer notable for being one of the first commercially successful "luggable" computers, popular with business users and running CP/M-based software.
  • D. The Dell
    The Dell was a historic football stadium in Southampton, England, best known as the long-time home ground of Southampton F.C. until its closure and demolition in the early 2000s.
  • E. Atlas computer
    The Atlas computer was an early British supercomputer developed in the 1960s that pioneered virtual memory and other advanced features, making it one of the most powerful and influential computers of its time.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc675008190b8248325f5a208bf completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317d3c1bc8190811b809aaf93a754 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:13 p.m.