Triple

T8891918
Position Surface form Disambiguated ID Type / Status
Subject Sir Peter Osborne, 17th Baronet E211698 entity
Predicate child P120 FINISHED
Object Adam Osborne E744096 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: Adam Osborne | Statement: [Sir Peter Osborne, 17th Baronet, child, Adam Osborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Osborne
Context triple: [Sir Peter Osborne, 17th Baronet, child, Adam Osborne]
  • A. Adam Osborne chosen
    Adam Osborne was a British-American author, computer designer, and entrepreneur best known for creating the Osborne 1, one of the first commercially successful portable computers.
  • B. William Osborne
    William Osborne is a British screenwriter best known for co-writing the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • C. Jim Osborne
    Jim Osborne is an American sculptor best known for creating the iconic Screen Actors Guild (SAG) Award statuette.
  • D. Paul Osborn
    Paul Osborn was an American screenwriter and playwright known for adapting major literary works for film, including classics such as "East of Eden" and "The Yearling."
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf01d048190bed52b5b001d7ffa completed April 3, 2026, noon
Created at: March 30, 2026, 6:54 p.m.