Triple

T16064307
Position Surface form Disambiguated ID Type / Status
Subject Michael Emerson E389692 entity
Predicate spouse P13 FINISHED
Object Carrie Preston 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: Carrie Preston | Statement: [Michael Emerson, spouse, Carrie Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie Preston
Context triple: [Michael Emerson, spouse, Carrie Preston]
  • A. Carrie Preston chosen
    Carrie Preston is an American actress and director known for her versatile character roles in film and television, including standout performances in series like "True Blood" and "The Good Wife."
  • B. Carrie Smith
    Carrie Smith is a musician best known as a member of the Detroit garage rock band The Von Bondies.
  • C. Carrie Johnson
    Carrie Johnson is a British political activist and communications professional, best known as the wife of former UK Prime Minister Boris Johnson.
  • D. Kelly Carr
    Kelly Carr is the central protagonist of the film "Back to You," around whom the story’s main events and character developments revolve.
  • E. Carla Purty
    Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837b048881908326739bbede756f completed April 17, 2026, 12:48 a.m.
Created at: April 10, 2026, 4:57 a.m.