Triple

T18189046
Position Surface form Disambiguated ID Type / Status
Subject Electric Light Orchestra E435485 entity
Predicate notableWork P4 FINISHED
Object Xanadu 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: Xanadu | Statement: [Electric Light Orchestra, notableWork, Xanadu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xanadu
Context triple: [Electric Light Orchestra, notableWork, Xanadu]
  • A. Xanadu
    Xanadu is the opulent, mythical pleasure-dome city evoked in Samuel Taylor Coleridge’s poem "Kubla Khan."
  • B. Xanadu chosen
    Xanadu is a 1980 fantasy musical film blending roller disco, romance, and pop music, starring Olivia Newton-John and featuring songs by Electric Light Orchestra.
  • C. XANADU
    XANADU is the radio callsign used by the long-haul low-cost airline AirAsia X.
  • D. XANADU
    XANADU is a software package within the HEASoft suite used for the analysis and modeling of X-ray and gamma-ray astronomical data.
  • E. Zang Tumb Tuum
    Zang Tumb Tuum is a 1914 Futurist sound-poetry work by Italian artist F.T. Marinetti, notable for its experimental typographic layout and onomatopoeic evocation of modern warfare.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e00059d4819097f681e702fe49e6 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.