Triple

T3876068
Position Surface form Disambiguated ID Type / Status
Subject King_of_Belize E92502 entity
Predicate legalConcept P10240 FINISHED
Object the_Crown E26836 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: the_Crown | Statement: [King_of_Belize, legalConcept, the_Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the_Crown
Context triple: [King_of_Belize, legalConcept, the_Crown]
  • A. the Crown chosen
    The Crown is the symbolic and legal embodiment of the British monarchy and state authority.
  • B. The Crown
    The Crown is the popular nickname for Charlotte FC, the Major League Soccer club based in Charlotte, North Carolina.
  • C. The Crown
    The Crown is a critically acclaimed historical drama television series that chronicles the reign of Queen Elizabeth II and the political and personal events that shaped the second half of the 20th century.
  • D. The Hollow Crown
    The Hollow Crown is a British television series that adapts William Shakespeare’s history plays from the Henriad cycle into cinematic productions.
  • E. Monarchy (TV series)
    Monarchy (TV series) is a British documentary series presented by historian David Starkey that chronicles the history and evolution of the English and later British monarchy.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124f095881909143b624128ff569 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.