Triple

T7412971
Position Surface form Disambiguated ID Type / Status
Subject Don Simpson E171055 entity
Predicate workedOn P3 FINISHED
Object Flashdance E393941 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: Flashdance | Statement: [Don Simpson, workedOn, Flashdance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flashdance
Context triple: [Don Simpson, workedOn, Flashdance]
  • A. Flashdance chosen
    Flashdance is a 1983 romantic drama dance film that became a pop-culture phenomenon, known for its iconic soundtrack, fashion, and dance sequences.
  • B. 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."
  • C. Footloose
    Footloose is a 1984 American musical drama film, starring Kevin Bacon, about a teenager who challenges a small town’s ban on dancing.
  • D. Born to Dance
    Born to Dance is a 1936 MGM musical film featuring songs by Cole Porter and starring Eleanor Powell and James Stewart.
  • E. Fame
    "Fame" is a song by Janet Jackson, known as one of her dance-pop tracks that showcases her signature rhythmic style and performance energy.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81edbbe6481908904d1a1f7cfb20a completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:11 p.m.