Triple

T18458671
Position Surface form Disambiguated ID Type / Status
Subject Courtney Thorne-Smith E450971 entity
Predicate appearedInFilm P795 FINISHED
Object Summer School 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: Summer School | Statement: [Courtney Thorne-Smith, appearedInFilm, Summer School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summer School
Context triple: [Courtney Thorne-Smith, appearedInFilm, Summer School]
  • A. Summer School chosen
    "Summer School" is a 1987 comedy film starring Mark Harmon as a laid-back high school gym teacher forced to teach remedial English over the summer.
  • B. Harvard Summer School
    Harvard Summer School is Harvard University's open-enrollment summer division offering a wide range of undergraduate, graduate, and professional courses to students from around the world.
  • C. College Holiday
    College Holiday is a 1936 American musical comedy film featuring Gracie Allen in a prominent comedic role.
  • D. Summerbridge
    Summerbridge is a small rural village in North Yorkshire, England, situated within the scenic Nidderdale valley.
  • E. Bauhaus Summer School
    Bauhaus Summer School is an international academic program in Weimar offering short-term courses and workshops in art, design, architecture, media, and related fields.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:31 a.m.