Triple

T22091445
Position Surface form Disambiguated ID Type / Status
Subject I'd Do Anything E545922 entity
Predicate winnerOliverRole P139936 FINISHED
Object Harry Stott NE NERFINISHED

How this triple was built (4 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: Harry Stott | Statement: [I'd Do Anything, winnerOliverRole, Harry Stott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Stott
Context triple: [I'd Do Anything, winnerOliverRole, Harry Stott]
  • A. Peter Stebbings
    Peter Stebbings is a Canadian actor, writer, and director known for his work in film and television, including creating and directing the superhero dramedy "Defendor."
  • B. Christopher Harter
    Christopher Harter is known primarily as the husband of British actor Jeremy Kemp.
  • C. Harry Rowlands
    Harry Rowlands is known primarily as the husband of June Rowlands, the first female mayor of Toronto.
  • D. Philip Stapleton
    Philip Stapleton was a prominent Parliamentarian cavalry officer and politician during the English Civil War.
  • E. Harry Cunningham
    Harry Cunningham is a forensic pathologist and key character in the British crime drama series "Silent Witness," known for working closely with Dr. Nikki Alexander on complex murder investigations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry Stott
Target entity description: Harry Stott is a British actor and former child performer best known for playing Oliver Twist in the West End production of "Oliver!" after winning the role on the BBC talent show "I'd Do Anything."
  • A. Peter Stebbings
    Peter Stebbings is a Canadian actor, writer, and director known for his work in film and television, including creating and directing the superhero dramedy "Defendor."
  • B. Christopher Harter
    Christopher Harter is known primarily as the husband of British actor Jeremy Kemp.
  • C. Harry Rowlands
    Harry Rowlands is known primarily as the husband of June Rowlands, the first female mayor of Toronto.
  • D. Philip Stapleton
    Philip Stapleton was a prominent Parliamentarian cavalry officer and politician during the English Civil War.
  • E. Harry Cunningham
    Harry Cunningham is a forensic pathologist and key character in the British crime drama series "Silent Witness," known for working closely with Dr. Nikki Alexander on complex murder investigations.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winnerOliverRole
Context triple: [I'd Do Anything, winnerOliverRole, Harry Stott]
  • A. winnerRole chosen
    Indicates the role or position held by the entity that is the winner in a given event or competition.
  • B. winnerDam
    Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
  • C. winnerCreditedAs
    Indicates the name or designation under which the winner is officially recorded or credited for a particular award, contest, or achievement.
  • D. winnerNickname
    Indicates the nickname used to refer to the entity that has won a particular contest, event, or competition.
  • E. winnerMake
    Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
  • F. None of above.

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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69e71b20ec50819096ac196c798f8e3c completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:29 p.m.