Triple

T17299264
Position Surface form Disambiguated ID Type / Status
Subject The Greatest Hits – Why Try Harder E419994 entity
Predicate hasTrack P3284 FINISHED
Object Slash Dot Dash E419995 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: Slash Dot Dash | Statement: [The Greatest Hits – Why Try Harder, hasTrack, Slash Dot Dash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slash Dot Dash
Context triple: [The Greatest Hits – Why Try Harder, hasTrack, Slash Dot Dash]
  • A. Slash Dot Dash chosen
    "Slash Dot Dash" is a 2004 electro-funk single by British DJ and producer Fatboy Slim, known for its frenetic beats and playful, vocoder-driven vocals.
  • B. Gizmodo
    Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
  • C. Boing Boing
    Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
  • D. Technium
    Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
  • E. TNW
    TNW is the integrated public transport fare network covering Basel and its surrounding region in Switzerland.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f8efb481908b56172c7f749b62 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.