Triple
T11829563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Alexia of the Netherlands |
E281350
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alexia |
E281350
|
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: Alexia | Statement: [Princess Alexia of the Netherlands, givenName, Alexia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexia Context triple: [Princess Alexia of the Netherlands, givenName, Alexia]
-
A.
Alexia
chosen
Alexia is a Dutch princess, the second daughter of King Willem-Alexander and Queen Máxima of the Netherlands.
-
B.
Letta
Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
-
C.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
D.
Xandra
Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
-
E.
Alectura
Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62b75dc8190b27d24e46a262a11 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2812007dc81908e56fd47b2a94836 |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:43 p.m.