Triple

T20488691
Position Surface form Disambiguated ID Type / Status
Subject Michael Ansara E502679 entity
Predicate child P120 FINISHED
Object Matthew Ansara NE NERFINISHED

How this triple was built (3 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: Matthew Ansara | Statement: [Michael Ansara, child, Matthew Ansara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Ansara
Context triple: [Michael Ansara, child, Matthew Ansara]
  • A. Viveik Kalra
    Viveik Kalra is a British actor best known for his breakout lead role in the film "Blinded by the Light" and subsequent appearances in projects like the sci-fi thriller "Voyagers."
  • B. Jon Michael Hill
    Jon Michael Hill is an American actor known for his work in theater, television, and film, including a prominent role on the TV series "Elementary."
  • C. Rami Yacoub
    Rami Yacoub is a Swedish music producer and songwriter known for crafting numerous international pop hits with artists such as Celine Dion, Britney Spears, and the Backstreet Boys.
  • D. Toby Huss
    Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
  • E. Ferdia Walsh-Peelo
    Ferdia Walsh-Peelo is an Irish actor and musician best known for his breakout role in the film "Sing Street" and his performance in the Academy Award–winning drama "CODA."
  • 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: Matthew Ansara
Target entity description: Matthew Ansara was the son of actors Michael Ansara and Barbara Eden, known for his brief acting career and his tragic death at a young age.
  • A. Viveik Kalra
    Viveik Kalra is a British actor best known for his breakout lead role in the film "Blinded by the Light" and subsequent appearances in projects like the sci-fi thriller "Voyagers."
  • B. Jon Michael Hill
    Jon Michael Hill is an American actor known for his work in theater, television, and film, including a prominent role on the TV series "Elementary."
  • C. Rami Yacoub
    Rami Yacoub is a Swedish music producer and songwriter known for crafting numerous international pop hits with artists such as Celine Dion, Britney Spears, and the Backstreet Boys.
  • D. Toby Huss
    Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
  • E. Ferdia Walsh-Peelo
    Ferdia Walsh-Peelo is an Irish actor and musician best known for his breakout role in the film "Sing Street" and his performance in the Academy Award–winning drama "CODA."
  • F. None of above. chosen

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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.