Triple

T14618883
Position Surface form Disambiguated ID Type / Status
Subject Oliver Penrose E343160 entity
Predicate sibling P363 FINISHED
Object Jonathan Penrose E360176 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: Jonathan Penrose | Statement: [Oliver Penrose, sibling, Jonathan Penrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Penrose
Context triple: [Oliver Penrose, sibling, Jonathan Penrose]
  • A. Jonathan Penrose chosen
    Jonathan Penrose was a British chess grandmaster and psychologist, best known for winning the British Chess Championship ten times between 1958 and 1969.
  • B. John Tyrrell
    John Tyrrell was an American character actor known for his numerous supporting roles in 1930s and 1940s Hollywood films, often appearing in comedies and crime dramas.
  • C. Edward Lapidge
    Edward Lapidge was a 19th-century English architect best known for his work on bridges and public buildings in and around London.
  • D. Gabriel Shipton
    Gabriel Shipton is an Australian film producer and the half-brother of WikiLeaks founder Julian Assange, known for his advocacy on Julian’s behalf.
  • E. Edward Shearmur
    Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0763ca081909fa8bcbdc46f2fac completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:25 a.m.