Triple

T17145250
Position Surface form Disambiguated ID Type / Status
Subject Nick and Norah's Infinite Playlist E416074 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Rachel Cohn E1252213 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: Rachel Cohn | Statement: [Nick and Norah's Infinite Playlist, basedOnWorkBy, Rachel Cohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Cohn
Context triple: [Nick and Norah's Infinite Playlist, basedOnWorkBy, Rachel Cohn]
  • A. Rachel Cohn chosen
    Rachel Cohn is an American young adult novelist best known for co-authoring popular books like "Nick and Norah's Infinite Playlist," which have been adapted into successful films.
  • B. Andrea Sachs
    Andrea Sachs is the ambitious young journalist who becomes the overworked assistant to powerful fashion editor Miranda Priestly in "The Devil Wears Prada."
  • C. Dawn Barlett
    Dawn Barlett is the central protagonist of the British television series "My Generation," around whose life and experiences the story revolves.
  • D. Natasha Bassett
    Natasha Bassett is an Australian actress and screenwriter known for roles in film and television, including biographical and dramatic projects.
  • E. Risa Gertner
    Risa Gertner is a film producer known for her work on the romantic comedy "The First Time."
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2da515481909d19e421382eb755 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483158348190abb96b36caaf455a completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.