Triple

T22975806
Position Surface form Disambiguated ID Type / Status
Subject Bomont E571312 entity
Predicate appearsIn P795 FINISHED
Object Footloose 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: Footloose | Statement: [Bomont, appearsIn, Footloose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Footloose
Context triple: [Bomont, appearsIn, Footloose]
  • A. Footloose chosen
    Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges a small town’s ban on dancing.
  • B. Dirty Dancer
    "Dirty Dancer" is a song by the American rock band Euphoria.
  • C. Dirty Dancing
    Dirty Dancing is a 1987 romantic drama dance film set in the 1960s that became a cultural phenomenon, known for its iconic soundtrack, dance sequences, and the famous line "Nobody puts Baby in a corner."
  • D. Flashdance
    Flashdance is a 1983 romantic drama dance film that became a pop-culture phenomenon, known for its iconic soundtrack, fashion, and dance sequences.
  • E. Footloose (2011 film)
    Footloose (2011 film) is a 2011 musical drama and dance film that serves as a modern remake of the 1984 classic about a rebellious teenager challenging a small town’s ban on dancing.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18235de508190ab9675d005870ff6 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.