Triple

T21119534
Position Surface form Disambiguated ID Type / Status
Subject Peter Strauss E520389 entity
Predicate spouse P13 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: [Peter Strauss, spouse, Rachel Ticotin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Ticotin
Context triple: [Peter Strauss, spouse, 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. Susan Gauthier
    Susan Gauthier is a screenwriter best known for co-writing the 1997 film adaptation of the animated classic "Anastasia."
  • E. Kate Boutilier
    Kate Boutilier is a television and film writer best known for her work on animated series and movies, including co-writing The Wild Thornberrys Movie.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72233a43481909535560514d388be completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.