Triple
T558607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Saint Lucia |
E13398
|
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 Saint Lucia, style, Her Majesty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Her Majesty Context triple: [Queen of Saint Lucia, 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.
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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e645da348190a49fe5a1f5c4077c |
completed | March 2, 2026, 1:22 a.m. |
Created at: March 1, 2026, 7:32 p.m.