Triple

T22129596
Position Surface form Disambiguated ID Type / Status
Subject Ride the Lightning E546873 entity
Predicate hasPart P35 FINISHED
Object Trapped Under Ice 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: Trapped Under Ice | Statement: [Ride the Lightning, hasPart, Trapped Under Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trapped Under Ice
Context triple: [Ride the Lightning, hasPart, Trapped Under Ice]
  • A. Trapped Under Ice chosen
    Trapped Under Ice is a hardcore punk band from Baltimore known for its aggressive sound and influential role in the 2000s hardcore scene.
  • B. The Ice Break
    The Ice Break is a modern opera by British composer Michael Tippett that explores themes of political unrest, racial tension, and personal transformation.
  • C. Cold as Ice
    "Cold as Ice" is a 1977 rock song by the British-American band Foreigner, known for its catchy piano riff and themes of emotional detachment in a romantic relationship.
  • D. Thin Ice
    Thin Ice is a segment or act within the Pink Floyd film and album project "The Wall," expanding on the story's themes of vulnerability and emotional isolation.
  • E. Thin Ice
    Thin Ice is a 1937 American romantic comedy film starring Sonja Henie and Tyrone Power, best known for combining figure skating spectacle with lighthearted romance.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129851db8819082d50bbb73670bf6 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.