Triple

T21207374
Position Surface form Disambiguated ID Type / Status
Subject Paula McFadden E522622 entity
Predicate portrayedBy P1507 FINISHED
Object Marsha Mason 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: Marsha Mason | Statement: [Paula McFadden, portrayedBy, Marsha Mason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsha Mason
Context triple: [Paula McFadden, portrayedBy, Marsha Mason]
  • A. Marsha Mason chosen
    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.
  • B. Mary Bellingham
    Mary Bellingham was the wife of John Bellingham, the man infamous for assassinating British Prime Minister Spencer Perceval in 1812.
  • C. Patricia Clarkson
    Patricia Clarkson is an American actress acclaimed for her versatile performances in film, television, and theater, often in complex supporting roles.
  • D. Frances Miles
    Frances Miles was the mother of American rock and funk drummer and singer Buddy Miles.
  • E. Barbara Feldon
    Barbara Feldon is an American actress and former model best known for her role as the stylish and intelligent Agent 99 on the 1960s television comedy series "Get Smart."
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734362c788190bc1b96d3b84c0ad1 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:24 p.m.