Triple

T16706074
Position Surface form Disambiguated ID Type / Status
Subject Felicia Gallant E405973 entity
Predicate portrayedBy P1507 FINISHED
Object Linda Dano E410102 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: Linda Dano | Statement: [Felicia Gallant, portrayedBy, Linda Dano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Dano
Context triple: [Felicia Gallant, portrayedBy, Linda Dano]
  • A. Linda Dano chosen
    Linda Dano is an American actress and television host best known for her long-running, Emmy-winning work in daytime soap operas.
  • B. Jill Kendall
    Jill Kendall is a main character on the sitcom "Mom," portrayed as Christy Plunkett’s sarcastic, hard-drinking best friend and fellow member of Alcoholics Anonymous.
  • C. Nancy Olson
    Nancy Olson is an American actress best known for her Academy Award–nominated role in the classic film "Sunset Boulevard."
  • D. Darilyn Durdin
    Darilyn Durdin is a sibling of American actor Gary Dourdan, known for his role on the television series "CSI: Crime Scene Investigation."
  • E. Peggy Dow
    Peggy Dow is an American former film actress best known for her roles in early 1950s Hollywood movies, including the classic comedy "Harvey."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833695908190afd4d2ece233be00 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.