Triple

T10844971
Position Surface form Disambiguated ID Type / Status
Subject RADA E255985 entity
Predicate hasAlumni P51 FINISHED
Object Richard Attenborough E21800 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: Richard Attenborough | Statement: [RADA, hasAlumni, Richard Attenborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Attenborough
Context triple: [RADA, hasAlumni, Richard Attenborough]
  • A. Richard Attenborough chosen
    Richard Attenborough was an acclaimed English actor, filmmaker, and producer known for films such as "Gandhi" and "Jurassic Park."
  • B. Laurence Olivier
    Laurence Olivier was a renowned 20th-century English actor and director, widely regarded as one of the greatest performers in the history of stage and screen.
  • C. Ben Kingsley
    Ben Kingsley is an acclaimed British actor renowned for his Academy Award–winning portrayal of Mahatma Gandhi and a wide range of roles across film, television, and stage.
  • D. Peter Donat
    Peter Donat was a Canadian-American actor known for his character roles in film and television, including appearances in "The X-Files" and "The Godfather Part II."
  • E. Ian Carmichael
    Ian Carmichael was an English actor best known for his comic roles in mid-20th-century British film and television, including portrayals of characters like Bertie Wooster and Lord Peter Wimsey.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:19 p.m.