Triple

T9728580
Position Surface form Disambiguated ID Type / Status
Subject Blue E235677 entity
Predicate genre P14 FINISHED
Object Eurodance E210382 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: Eurodance | Statement: [Blue, genre, Eurodance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurodance
Context triple: [Blue, genre, Eurodance]
  • A. Eurodance chosen
    Eurodance is a high-energy electronic dance music genre that emerged in late 1980s Europe, blending techno, house, and Euro disco with catchy melodies, synth-driven hooks, and a mix of sung choruses and rap verses.
  • B. Euro disco
    Euro disco is a style of dance-oriented pop music that emerged in Europe in the 1970s, characterized by lush production, catchy melodies, and strong electronic and disco influences.
  • C. Disco
    Disco is a 2020 studio album by Australian pop singer Kylie Minogue that pays homage to classic disco music with a modern pop twist.
  • D. Trance
    Trance is a 2013 psychological thriller film directed by Danny Boyle that follows an art auctioneer who partners with a hypnotherapist to recover a stolen painting and his lost memories.
  • E. EDM
    EDM (Electronic Dance Music) is a broad genre of electronically produced, beat-driven music designed for clubs, festivals, and dance-focused listening.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eafa3a88190bc62924d94b89cd8 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb5f5bc8190ae53bc5c165b5ac7 completed April 4, 2026, 11:33 p.m.
Created at: March 30, 2026, 8:21 p.m.