Triple

T14053697
Position Surface form Disambiguated ID Type / Status
Subject The Donna Reed Show E338156 entity
Predicate executiveProducer P7225 FINISHED
Object Tony Owen E793893 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: Tony Owen | Statement: [The Donna Reed Show, executiveProducer, Tony Owen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Owen
Context triple: [The Donna Reed Show, executiveProducer, Tony Owen]
  • A. Tony Owen chosen
    Tony Owen was an American talent agent and television producer best known for producing "The Donna Reed Show" and for being married to actress Donna Reed.
  • B. Gary Owen
    Gary Owen is an American stand-up comedian and actor known for his energetic performances and roles in various comedy films and specials.
  • C. Steve Owen
    Steve Owen was a legendary NFL head coach best known for leading the New York Giants for nearly a quarter century and pioneering modern defensive strategies.
  • D. Tony Woodley
    Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
  • E. Tony Ryan
    Tony Ryan was an Irish businessman best known as the co-founder of Ryanair and a key figure in the development of low-cost air travel in Europe.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.