Triple
T15115746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariane Wilhelmina Máxima Inés |
E361034
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Máxima |
E94726
|
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: Máxima | Statement: [Ariane Wilhelmina Máxima Inés, givenName, Máxima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Máxima Context triple: [Ariane Wilhelmina Máxima Inés, givenName, Máxima]
-
A.
Máxima
chosen
Máxima is the Argentine-born Queen consort of the Netherlands, married to King Willem-Alexander and known for her work in finance, social inclusion, and microcredit initiatives.
-
B.
Massimiliana
Massimiliana is an Italian feminine given name, serving as the female counterpart of Massimiliano.
-
C.
Maximilla
Maximilla was a prominent 2nd-century Christian prophetess and one of the leading figures of the Montanist movement in Phrygia.
-
D.
Leopoldina
Leopoldina is the German National Academy of Sciences, one of the world’s oldest continuously existing academies dedicated to advancing scientific research and advising society and policymakers.
-
E.
Carlota
Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.