Triple

T15424301
Position Surface form Disambiguated ID Type / Status
Subject Troy Barlow E369465 entity
Predicate appearsIn P795 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: [Troy Barlow, appearsIn, Three Kings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Three Kings
Context triple: [Troy Barlow, appearsIn, 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. Table of the Three Kings
    Table of the Three Kings is a mountain peak in the Pyrenees where the borders of Spain, France, and historically Navarre meet.
  • D. King of Kings
    King of Kings is a divine title emphasizing God's supreme and unrivaled authority over all earthly rulers and powers.
  • E. 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.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7ed0ec8190b8086f78df965b61 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.