Triple

T6009023
Position Surface form Disambiguated ID Type / Status
Subject Siobhán McKenna E133784 entity
Predicate notableWork P4 FINISHED
Object King of Kings E342522 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: King of Kings | Statement: [Siobhán McKenna, notableWork, King of Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King of Kings
Context triple: [Siobhán McKenna, notableWork, King of Kings]
  • A. King of Kings
    King of Kings is a divine title emphasizing God's supreme and unrivaled authority over all earthly rulers and powers.
  • B. King of Kings chosen
    King of Kings is a 1961 epic biblical film directed by Nicholas Ray that dramatizes the life of Jesus Christ.
  • C. King of Kings
    King of Kings is an ancient imperial title, most famously used by Persian rulers to signify their sovereignty over multiple subordinate kings and vast territories.
  • D. The King
    The King is the iconic nickname of Elvis Presley, the pioneering American rock and roll singer and cultural figure often regarded as one of the most significant entertainers of the 20th century.
  • E. The King
    The King is a conman and one of the two unscrupulous drifters who travel with Huck and Jim, posing as royalty to swindle people in Mark Twain’s "Adventures of Huckleberry Finn."
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f4e27a881909cc3f7fef62abc3b completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1089bd870819096c0f6c7cf484c50 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.