Triple

T20266938
Position Surface form Disambiguated ID Type / Status
Subject Joe Satriani (1995 album) E498993 entity
Predicate previousAlbum P25308 FINISHED
Object Time Machine NE NERFINISHED

How this triple was built (3 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: Time Machine | Statement: [Joe Satriani (1995 album), previousAlbum, Time Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Machine
Context triple: [Joe Satriani (1995 album), previousAlbum, Time Machine]
  • A. Time Machine
    "Time Machine" is a pop-influenced song by American singer-songwriter Ingrid Michaelson, known for its upbeat sound and introspective lyrics about change and self-reflection.
  • B. Time Machine
    "Time Machine" is a 1969 hard rock song by Grand Funk Railroad that became one of the band’s early signature tracks and helped establish their heavy, blues-influenced sound.
  • C. Time Machine (Mac OS X feature)
    Time Machine is macOS’s built-in automatic backup system that regularly saves versions of your files and allows easy restoration of data from different points in time.
  • D. The Finder
    The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
  • E. The Finder
    The Finder is a story set in Ursula K. Le Guin’s Earthsea universe, included in the collection "Tales from Earthsea," that explores the early history of magic and the foundations of the Archipelagan school system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Time Machine
Target entity description: Time Machine is a 1993 double album by guitarist Joe Satriani that combines new studio recordings with previously unreleased and live tracks, showcasing his instrumental rock style.
  • A. Time Machine
    "Time Machine" is a pop-influenced song by American singer-songwriter Ingrid Michaelson, known for its upbeat sound and introspective lyrics about change and self-reflection.
  • B. Time Machine
    "Time Machine" is a 1969 hard rock song by Grand Funk Railroad that became one of the band’s early signature tracks and helped establish their heavy, blues-influenced sound.
  • C. Time Machine (Mac OS X feature)
    Time Machine is macOS’s built-in automatic backup system that regularly saves versions of your files and allows easy restoration of data from different points in time.
  • D. The Finder
    The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
  • E. The Finder
    The Finder is a story set in Ursula K. Le Guin’s Earthsea universe, included in the collection "Tales from Earthsea," that explores the early history of magic and the foundations of the Archipelagan school system.
  • F. None of above. chosen

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674d001f081908910eedd262ae13a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:42 p.m.