Triple
T584652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Antigua and Barbuda |
E15131
|
entity |
| Predicate | monarchTitleGendered |
P13876
|
FINISHED |
| Object | Queen when the sovereign is female |
—
|
LITERAL 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: Queen when the sovereign is female | Statement: [Queen of Antigua and Barbuda, monarchTitleGendered, Queen when the sovereign is female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchTitleGendered Context triple: [Queen of Antigua and Barbuda, monarchTitleGendered, Queen when the sovereign is female]
-
A.
monarchTitleGenderedForm
chosen
Indicates the specific gendered version of a monarch’s title (e.g., king vs. queen) used to refer to that ruler.
-
B.
monarchRole
Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
-
C.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
D.
monarchFullName
Indicates the complete official name by which a monarch is formally identified.
-
E.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.