Triple

T13128357
Position Surface form Disambiguated ID Type / Status
Subject Stella Kowalski E311901 entity
Predicate portrayedBy P1507 FINISHED
Object Patricia Clarkson E298767 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: Patricia Clarkson | Statement: [Stella Kowalski, portrayedBy, Patricia Clarkson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Clarkson
Context triple: [Stella Kowalski, portrayedBy, Patricia Clarkson]
  • A. Patricia Clarkson chosen
    Patricia Clarkson is an American actress acclaimed for her versatile performances in film, television, and theater, often in complex supporting roles.
  • B. Mary Bellingham
    Mary Bellingham was the wife of John Bellingham, the man infamous for assassinating British Prime Minister Spencer Perceval in 1812.
  • C. Anne Rennie
    Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
  • D. Marsha Mason
    Marsha Mason is an American actress known for her acclaimed film and stage work, including multiple Academy Award–nominated performances in 1970s and 1980s dramas and romantic comedies.
  • E. Anneke Wills
    Anneke Wills is a British actress best known for playing the companion Polly in the classic science fiction television series Doctor Who during the 1960s.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78acdaae881908825e5308f0ba388 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:07 p.m.