Triple
T4237458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máxima |
E94726
|
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: [Máxima, givenName, Máxima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Máxima Context triple: [Máxima, 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.
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.
-
C.
Carlota
Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
-
D.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
E.
Maria
Maria is the birth name of Marie Curie, the pioneering physicist and chemist who conducted groundbreaking research on radioactivity.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86996f48190987d3ac234a9b7f4 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.