Triple

T16097401
Position Surface form Disambiguated ID Type / Status
Subject Inside Edition E390522 entity
Predicate host P2592 FINISHED
Object Deborah Norville E1216350 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: Deborah Norville | Statement: [Inside Edition, host, Deborah Norville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deborah Norville
Context triple: [Inside Edition, host, Deborah Norville]
  • A. Deborah Norville chosen
    Deborah Norville is an American television journalist and author best known as the longtime anchor of the syndicated newsmagazine program Inside Edition.
  • B. Amy Brenneman
    Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
  • C. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • D. Debbi Morgan
    Debbi Morgan is an American actress best known for her Emmy-winning role as Angie Hubbard on the soap opera "All My Children" and for her work in film and television spanning several decades.
  • E. Jessica Stroup
    Jessica Stroup is an American actress best known for her roles on the TV series 90210 and various horror and genre films and shows.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606a3d5c8190a145ca35ce458f7e completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 4:59 a.m.