Triple

T18359009
Position Surface form Disambiguated ID Type / Status
Subject Eldorado E439866 entity
Predicate hasPart P35 FINISHED
Object Mister 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: Mister Kingdom | Statement: [Eldorado, hasPart, Mister Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mister Kingdom
Context triple: [Eldorado, hasPart, Mister Kingdom]
  • A. Mister Kingdom chosen
    Mister Kingdom is a song by Electric Light Orchestra, known as a Beatlesque, orchestral rock track from their 1974 album Eldorado.
  • B. Metro Kingdom
    Metro Kingdom is a bustling, New York City-inspired urban world in Super Mario Odyssey, known for its skyscrapers, busy streets, and the iconic New Donk City.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d9dba8819088c5d772e3ee670d completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.