Triple

T18333821
Position Surface form Disambiguated ID Type / Status
Subject Melina E439215 entity
Predicate portrayedBy P1507 FINISHED
Object Rachel Ticotin 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: Rachel Ticotin | Statement: [Melina, portrayedBy, Rachel Ticotin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Ticotin
Context triple: [Melina, portrayedBy, Rachel Ticotin]
  • A. Rachel Ticotin chosen
    Rachel Ticotin is an American actress best known for her roles in action and drama films and television series, including a prominent part in the sci-fi film "Total Recall."
  • B. Laura Savoie
    Laura Savoie is an American PhD student and business professional best known for being married to actor Dennis Quaid.
  • C. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • D. Julie LeBreton
    Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
  • E. Renee Paquette
    Renee Paquette is a Canadian sports broadcaster, television host, and professional wrestling personality best known for her work as a commentator and interviewer in major wrestling promotions.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecbc76c8190a80c0c8c8bce1cbd completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.