Triple

T19234601
Position Surface form Disambiguated ID Type / Status
Subject Black and White Rainbows E480960 entity
Predicate followedBy P78 FINISHED
Object The Kingdom 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: The Kingdom | Statement: [Black and White Rainbows, followedBy, The Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Kingdom
Context triple: [Black and White Rainbows, followedBy, The Kingdom]
  • A. The Kingdom
    The Kingdom is a colloquial nickname for the historic Kingdom of Fife region on Scotland’s east coast, known for its coastal towns, golf heritage, and medieval history.
  • B. The Kingdom
    The Kingdom is a 2019 Danish crime drama television series that follows the intense power struggles and criminal underworld surrounding a notorious biker gang.
  • C. The Kingdom
    The Kingdom is an oratorio by English composer Edward Elgar that continues the religious and musical themes of his earlier work The Apostles.
  • D. The Kingdom
    The Kingdom is a Danish supernatural horror television series created by Lars von Trier that blends hospital drama with dark humor and occult phenomena.
  • E. The Kingdom chosen
    The Kingdom is a 2020 studio album by British rock band Bush that showcases a heavier, more modern hard-rock sound.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faeb53988190b83afee9974058c6 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.