Triple

T19134856
Position Surface form Disambiguated ID Type / Status
Subject Limbo E468408 entity
Predicate contrastWith P278 FINISHED
Object Paradise 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: Paradise | Statement: [Limbo, contrastWith, Paradise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradise
Context triple: [Limbo, contrastWith, Paradise]
  • A. Paradise chosen
    Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
  • B. Paradise
    Paradise is a section of the post-apocalyptic science fiction novel "The Rising," depicting a seemingly idyllic but ultimately perilous refuge within its dystopian world.
  • C. Paradise
    "Paradise" is a popular song composed by Nacio Herb Brown, known for its classic Tin Pan Alley style and enduring presence in early American popular music.
  • D. Paradise
    "Paradise" is a critically acclaimed novel by Nobel Prize–winning author Abdulrazak Gurnah that explores colonialism, displacement, and coming-of-age in early 20th-century East Africa.
  • E. Paradise
    Paradise is a 2013 comedy-drama film written and directed by Diablo Cody, marking her directorial debut and following a sheltered young woman who radically changes her life after surviving a plane crash.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ec4c848190af450bf5bf8db5e7 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.