Triple

T14728406
Position Surface form Disambiguated ID Type / Status
Subject Danja E346003 entity
Predicate notableSongProduced P8087 FINISHED
Object Break the Ice E764425 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: Break the Ice | Statement: [Danja, notableSongProduced, Break the Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Break the Ice
Context triple: [Danja, notableSongProduced, Break the Ice]
  • A. Break the Ice chosen
    "Break the Ice" is a dance-pop song by Britney Spears from her 2007 album "Blackout," known for its futuristic animated music video and electronic, R&B-influenced production.
  • B. Ice Breaker
    Ice Breaker is a launched steel roller coaster at SeaWorld Orlando known for its multiple airtime hills and steep beyond-vertical drop.
  • C. Icebreaker
    Icebreaker is a Cold War-era spy thriller novel by British author John Gardner featuring the character James Bond.
  • D. 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.
  • E. On Thin Ice
    "On Thin Ice" is an episode of the BBC nature documentary series Frozen Planet that explores the dramatic impacts of climate change on polar ice and the wildlife that depends on it.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09b1ff08190a8f88fa34d1656fb completed May 8, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:29 a.m.