Triple

T3754408
Position Surface form Disambiguated ID Type / Status
Subject Jennifer DiNuccio E82010 entity
Predicate portrayedBy P1507 FINISHED
Object Tracy Nelson E11627 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: Tracy Nelson | Statement: [Jennifer DiNuccio, portrayedBy, Tracy Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Nelson
Context triple: [Jennifer DiNuccio, portrayedBy, Tracy Nelson]
  • A. Tracy Nelson chosen
    Tracy Nelson is an American actress and author best known for her roles in the television series "Square Pegs" and "Father Dowling Mysteries."
  • B. Donna Dixon
    Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
  • C. Jeannie Seely
    Jeannie Seely is an American country music singer and Grand Ole Opry member known for her 1966 hit "Don't Touch Me" and her long, influential career in Nashville.
  • D. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • E. Dody Dorn
    Dody Dorn is an American film editor known for her work on movies such as "Memento" and collaborations with directors like Christopher Nolan and David Ayer.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb94ffc08190a7fd1ce71a15f787 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e50825588190b620950ac1d4f408 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.