Triple

T13541102
Position Surface form Disambiguated ID Type / Status
Subject Kenny Ortega E323386 entity
Predicate choreographed P12047 FINISHED
Object Dirty Dancing E198940 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: Dirty Dancing | Statement: [Kenny Ortega, choreographed, Dirty Dancing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty Dancing
Context triple: [Kenny Ortega, choreographed, Dirty Dancing]
  • A. Dirty Dancing chosen
    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."
  • B. Born to Dance
    Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
  • C. Why Don’t You Dance?
    "Why Don’t You Dance?" is a short story by American writer Raymond Carver, noted for its minimalist style and portrayal of loneliness and disconnection in everyday life.
  • 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
    Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges 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 (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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.