Triple

T20409746
Position Surface form Disambiguated ID Type / Status
Subject Olympia E500556 entity
Predicate hasTrack P3284 FINISHED
Object Alphaville 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: Alphaville | Statement: [Olympia, hasTrack, Alphaville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphaville
Context triple: [Olympia, hasTrack, Alphaville]
  • A. Alphaville chosen
    Alphaville is a German synth-pop band best known for their 1980s hits such as "Forever Young" and "Big in Japan."
  • B. Alphaville
    Alphaville is a 1965 French science-fiction noir film by Jean-Luc Godard that blends dystopian themes with experimental, genre-bending style.
  • C. Alphaville
    Alphaville is a popular Financial Times blog that provides real-time commentary and analysis on global finance, markets, and economic news.
  • D. Alphaville
    Alphaville is an affluent, master-planned residential and business district in the São Paulo metropolitan area, known for its gated communities and corporate offices.
  • E. Lost in Alphaville
    Lost in Alphaville is an alternative rock album by Matt Sharp’s band The Rentals, known for its synth-driven sound and nostalgic, melodic style.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3e0c1c8190be39d7f09c839dfa completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.