Triple

T9565423
Position Surface form Disambiguated ID Type / Status
Subject Letters to Juliet E230777 entity
Predicate producer P490 FINISHED
Object Caroline Kaplan E622769 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: Caroline Kaplan | Statement: [Letters to Juliet, producer, Caroline Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Kaplan
Context triple: [Letters to Juliet, producer, Caroline Kaplan]
  • A. Caroline Kaplan chosen
    Caroline Kaplan is a film producer known for her work on independent movies such as "The Ballad of Jack and Rose."
  • B. Carolyn Strauss
    Carolyn Strauss is an American television executive and producer best known for her influential work at HBO, including helping develop and produce acclaimed series such as Game of Thrones.
  • C. Deborah Kaplan
    Deborah Kaplan is an American screenwriter and film director best known for co-writing and co-directing teen comedies such as "Can't Hardly Wait."
  • D. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • E. Sarah Caplan
    Sarah Caplan is a television producer best known for her work as an executive producer on the family drama series "Brothers & Sisters."
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcaf94608190992124965a805228 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 8:04 p.m.