Triple

T11666543
Position Surface form Disambiguated ID Type / Status
Subject Photoplay E277263 entity
Predicate hasTitle P38 FINISHED
Object Photoplay E277263 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: Photoplay | Statement: [Photoplay, hasTitle, Photoplay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Photoplay
Context triple: [Photoplay, hasTitle, Photoplay]
  • A. Photoplay magazine chosen
    Photoplay magazine was one of the earliest and most influential American fan magazines devoted to motion pictures and Hollywood stars.
  • B. Screenwipe
    Screenwipe is a British television review and satire series created and presented by Charlie Brooker that critiques TV programs, production practices, and media culture.
  • C. Playbill
    Playbill is an American theatre magazine best known for producing the official programs distributed at Broadway and other live stage productions.
  • D. Variety
    Variety is a leading American entertainment trade magazine and website known for its coverage of film, television, theater, and the broader media industry.
  • E. Movie Magg
    Movie Magg is a track featured on Paul McCartney’s rock and roll cover album "Run Devil Run."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13b36ae4819096e6dfca23a69250 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.