Triple

T584620
Position Surface form Disambiguated ID Type / Status
Subject Queen of Antigua and Barbuda E15131 entity
Predicate style P87 FINISHED
Object Her Majesty E3496 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: Her Majesty | Statement: [Queen of Antigua and Barbuda, style, Her Majesty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Her Majesty
Context triple: [Queen of Antigua and Barbuda, style, Her Majesty]
  • A. Her Majesty chosen
    Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
  • B. His Majesty
    His Majesty is the formal style of address used for a reigning male British monarch.
  • C. The Queen
    The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
  • D. Her Imperial Highness
    Her Imperial Highness is the formal honorific style used for female members of certain imperial families, signifying their high rank and status within the monarchy.
  • E. His Royal Highness
    His Royal Highness is a formal style used to address or refer to certain members of a royal family, typically princes and princesses.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e25f4e4819081c8973b0f24dec0 completed March 2, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:33 p.m.