Triple

T19358983
Position Surface form Disambiguated ID Type / Status
Subject Hart to Hart E484225 entity
Predicate starring P1507 FINISHED
Object Robert Wagner NE NERFINISHED

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: Robert Wagner | Statement: [Hart to Hart, starring, Robert Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Wagner
Context triple: [Hart to Hart, starring, Robert Wagner]
  • A. Robert Wagner chosen
    Robert Wagner is an American film and television actor best known for his roles in series like "Hart to Hart" and films such as the "Austin Powers" franchise.
  • B. Richard Conte
    Richard Conte was an American film and television actor best known for his roles in classic crime dramas and film noir, including "The Godfather" and "Thieves' Highway."
  • C. Frank Giustra
    Frank Giustra is a Canadian businessman and philanthropist best known as the founder of Lionsgate Entertainment and for his extensive work in the mining and film industries.
  • D. Stephen Macht
    Stephen Macht is an American actor known for his work in film and television, including prominent roles in horror and crime dramas.
  • E. Bruce Davison
    Bruce Davison is an American actor best known for his versatile character roles in film and television, including his acclaimed performance in "Longtime Companion" and his portrayal of Senator Kelly in the "X-Men" series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.