Triple

T9995771
Position Surface form Disambiguated ID Type / Status
Subject Cliff Curtis E197197 entity
Predicate notableWork P4 FINISHED
Object Three Kings E81983 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: Three Kings | Statement: [Cliff Curtis, notableWork, Three Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Kings
Context triple: [Cliff Curtis, notableWork, Three Kings]
  • A. Three Kings chosen
    Three Kings is a 1999 satirical war film set during the aftermath of the Gulf War, known for blending dark comedy with action and political commentary.
  • B. Los Reyes
    Los Reyes was one of the ships in the late 16th-century Spanish Pacific exploration fleet led by navigator Álvaro de Mendaña de Neira.
  • C. King of Kings
    King of Kings is a divine title emphasizing God's supreme and unrivaled authority over all earthly rulers and powers.
  • D. 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.
  • E. King of Kings
    King of Kings is a 1961 epic biblical film directed by Nicholas Ray that dramatizes the life of Jesus Christ.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a2bc4f081909595afcc2c862eda completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:50 p.m.