Triple

T21599950
Position Surface form Disambiguated ID Type / Status
Subject Josephson Entertainment E533008 entity
Predicate notableFilm P22 FINISHED
Object Hide and Seek 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: Hide and Seek | Statement: [Josephson Entertainment, notableFilm, Hide and Seek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hide and Seek
Context triple: [Josephson Entertainment, notableFilm, Hide and Seek]
  • A. Hide and Seek chosen
    "Hide and Seek" is a 2005 psychological horror-thriller film starring Dakota Fanning and Robert De Niro, centered on a young girl with a mysterious imaginary friend following a family tragedy.
  • B. Hide and Seek
    "Hide and Seek" is a synth-pop song by British musician Howard Jones, known for its introspective lyrics and atmospheric electronic sound.
  • C. Hide and Seek
    "Hide and Seek" is an a cappella electronic song by Imogen Heap, renowned for its vocoder-processed vocals and emotional, minimalist production.
  • D. Hide and Seek
    "Hide and Seek" is a song by the Japanese rock band Griller.
  • E. Hide and Seek
    "Hide and Seek" is an episode of the television series "The Hunt," likely centered on themes of pursuit, evasion, and suspense.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae4746c819090afe1d93fe9f175 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.