Triple

T12728347
Position Surface form Disambiguated ID Type / Status
Subject Patrick Malahide E304164 entity
Predicate appearedIn P795 FINISHED
Object The Paradise E752303 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: The Paradise | Statement: [Patrick Malahide, appearedIn, The Paradise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Paradise
Context triple: [Patrick Malahide, appearedIn, The Paradise]
  • A. The Paradise chosen
    The Paradise is a British period drama television series set in a 19th-century department store, focusing on the lives, romances, and ambitions of its staff and customers.
  • B. Paradise
    "Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
  • C. Paradise
    Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
  • D. 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.
  • E. Paradise
    Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.