Triple

T6042604
Position Surface form Disambiguated ID Type / Status
Subject Vangelis discography E134581 entity
Predicate notableWork P4 FINISHED
Object Spiral E39561 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: Spiral | Statement: [Vangelis discography, notableWork, Spiral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiral
Context triple: [Vangelis discography, notableWork, Spiral]
  • A. Spiral
    Spiral is a distinctive modern architectural complex in Tokyo’s Aoyama district known for its spiral ramp design and role as a cultural and commercial hub.
  • B. Spiral
    "Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
  • C. Spiral (album) chosen
    Spiral is a 1977 electronic music album by Greek composer Vangelis, known for its synthesizer-driven, space-themed soundscapes and innovative use of electronic instrumentation.
  • D. Spiralling
    "Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
  • E. Helix
    Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139793708190b14c83d4197a33a0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.