Triple

T12275715
Position Surface form Disambiguated ID Type / Status
Subject Meet The Temptations E292583 entity
Predicate hasTrack P3284 FINISHED
Object Paradise E365595 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: Paradise | Statement: [Meet The Temptations, hasTrack, Paradise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradise
Context triple: [Meet The Temptations, hasTrack, Paradise]
  • A. Paradise
    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 chosen
    "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 (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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.