Triple

T19611367
Position Surface form Disambiguated ID Type / Status
Subject Detroit techno E470737 entity
Predicate influencedBy P9 FINISHED
Object Italo disco 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: Italo disco | Statement: [Detroit techno, influencedBy, Italo disco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italo disco
Context triple: [Detroit techno, influencedBy, Italo disco]
  • A. Italo disco chosen
    Italo disco is a style of 1980s European dance music, originating in Italy, characterized by catchy melodies, synthesizers, drum machines, and often heavily accented English vocals.
  • B. Italo dance
    Italo dance is a melodic, synth-driven style of European dance music that evolved from Italo disco and Eurodance, characterized by catchy hooks and upbeat, club-oriented rhythms.
  • 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. Disko
    Disko is the tough, weathered New England fishing captain and father figure in Rudyard Kipling’s novel “Captains Courageous.”
  • E. 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.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cb180c8190ba96ffb69c24e2e1 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.