Triple

T5398721
Position Surface form Disambiguated ID Type / Status
Subject Baron Attenborough E120720 entity
Predicate titleHolder P1911 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: [Baron Attenborough, titleHolder, Richard Attenborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Attenborough
Context triple: [Baron Attenborough, titleHolder, 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. Sir John Mills
    Sir John Mills was a distinguished English actor whose career spanned more than seven decades, earning him an Academy Award and a knighthood for his contributions to cinema and theatre.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87499ec4819086f8292625b56f96 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf337f08088190a3678de0932b8310 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.