Triple

T19549999
Position Surface form Disambiguated ID Type / Status
Subject Gigi E489172 entity
Predicate fictionalUniverse P3758 FINISHED
Object Paradise (novel) 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 (novel) | Statement: [Gigi, fictionalUniverse, Paradise (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradise (novel)
Context triple: [Gigi, fictionalUniverse, Paradise (novel)]
  • A. Paradise (1997 novel) chosen
    Paradise (1997 novel) is a work of literary fiction by Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma through interwoven narratives and complex symbolism.
  • B. The Paradise
    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.
  • C. Town of Paradise
    The Town of Paradise is a small Northern California community in the Sierra Nevada foothills, widely known for being devastated by the 2018 Camp Fire.
  • D. Paradise
    Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
  • 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 (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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2f39188190976e8b6b111499a0 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.