Triple

T21397185
Position Surface form Disambiguated ID Type / Status
Subject Icehouse E527815 entity
Predicate notableWork P4 FINISHED
Object Big Wheel 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: Big Wheel | Statement: [Icehouse, notableWork, Big Wheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Wheel
Context triple: [Icehouse, notableWork, Big Wheel]
  • A. Big Wheel
    Big Wheel is a large amusement park Ferris wheel-style ride that offers elevated, panoramic views to visitors.
  • B. Big Wheel chosen
    Big Wheel is a track from Tori Amos's 2007 album "American Doll Posse," known for its upbeat, piano-driven sound and exploration of female identity and empowerment.
  • C. Big Wheels
    "Big Wheels" is a song by the British rock band Electric Light Orchestra, featured on their 1977 double album "Out of the Blue."
  • D. Merry-Go-Round
    "Merry-Go-Round" is a song featured on the 1969 album "Last Time Around" by the American rock band Buffalo Springfield.
  • E. Merry-Go-Round
    Merry-Go-Round is a famous early 20th-century painting by British artist Mark Gertler that depicts a haunting, mechanized carousel as a powerful anti-war image.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b11a2aec8190a60e53b90d0823b1 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.