Triple

T1265566
Position Surface form Disambiguated ID Type / Status
Subject Queen of Tuvalu E12592 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 Tuvalu, style, Her Majesty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Her Majesty
Context triple: [Queen of Tuvalu, 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. Her Royal Highness
    Her Royal Highness is a formal honorific style traditionally used to address or refer to certain members of royal families, typically princes and princesses.
  • C. His Majesty
    His Majesty is the formal style of address used for a reigning male British monarch.
  • D. Her Majesty The Empress
    Her Majesty The Empress is the formal imperial title held by Masako, the Empress of Japan and wife of Emperor Naruhito.
  • E. 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.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4c036deb881909b234894347c75c6 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae1e55c8190a487084e16804e4d completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:50 p.m.