Triple

T1331203
Position Surface form Disambiguated ID Type / Status
Subject Girls E28646 entity
Predicate portrayedBy P1507 FINISHED
Object Rita Wilson E62645 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: Rita Wilson | Statement: [Girls, portrayedBy, Rita Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Wilson
Context triple: [Girls, portrayedBy, Rita Wilson]
  • A. Rita Wilson chosen
    Rita Wilson is an American actress, singer, and producer known for her film and television roles as well as her long-standing marriage to actor Tom Hanks.
  • B. Wendy Raquel Robinson
    Wendy Raquel Robinson is an American actress best known for her comedic television roles, including Regina "Piggy" Grier on The Steve Harvey Show and Tasha Mack on The Game.
  • C. Patricia Heaton
    Patricia Heaton is an American actress best known for her role as Debra Barone on the hit sitcom "Everybody Loves Raymond."
  • D. Paulette Goddard
    Paulette Goddard was an American film actress and former Ziegfeld girl best known for her roles in several 1930s and 1940s Hollywood films, including multiple collaborations with Charlie Chaplin.
  • E. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c5f86c819098e98b046968954a completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62978c08190be285167cf579f9f completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.