Triple

T14001584
Position Surface form Disambiguated ID Type / Status
Subject Nolan Gould E336837 entity
Predicate appearedIn P795 FINISHED
Object The To Do List E375665 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: The To Do List | Statement: [Nolan Gould, appearedIn, The To Do List]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The To Do List
Context triple: [Nolan Gould, appearedIn, The To Do List]
  • A. The To Do List chosen
    The To Do List is a 2013 coming-of-age comedy film starring Aubrey Plaza as a studious teenager who creates a checklist of sexual experiences to complete before starting college.
  • B. Magic to Do
    "Magic to Do" is the opening musical number from the Broadway show Pippin, known for its theatrical, vaudevillian style and its role in setting the tone for the production.
  • C. The Big To-Do
    The Big To-Do is a 2010 studio album by American rock band Drive-By Truckers, known for its gritty Southern rock sound and storytelling lyrics.
  • D. La tarea
    La tarea is a Mexican film best known for showcasing Ana Ofelia Murguía’s acclaimed performance in an intimate, character-driven story.
  • E. The Wish List
    The Wish List is a young adult fantasy novel by Eoin Colfer that follows a recently deceased teenage girl caught between Heaven and Hell as she attempts to right her past wrongs.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca180988190bbfc93bd708688d6 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.