Triple

T986971
Position Surface form Disambiguated ID Type / Status
Subject HM E21300 entity
Predicate hasGenderedForm P1613 FINISHED
Object His Majesty E4827 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: His Majesty | Statement: [HM, hasGenderedForm, His Majesty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: His Majesty
Context triple: [HM, hasGenderedForm, His Majesty]
  • A. His Majesty chosen
    His Majesty is the formal style of address used for a reigning male British monarch.
  • B. Her Majesty
    Her Majesty is the formal royal style used to address or refer to a reigning queen such as Anne, Queen of Great Britain.
  • C. His Imperial Majesty
    "His Imperial Majesty" is a formal honorific style traditionally used to address or refer to a reigning emperor, particularly in the context of the Holy Roman Empire.
  • D. 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.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a7754c8190a10ba0587bd8323d completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4289acc88190886ac8971297b1f8 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:41 p.m.