Triple
T4542251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldous Huxley |
E107560
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maria Nys |
E107560
|
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: Maria Nys | Statement: [Aldous Huxley, spouse, Maria Nys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Nys Context triple: [Aldous Huxley, spouse, Maria Nys]
-
A.
Maria Nys
chosen
Maria Nys was a Belgian-born woman best known as the first wife of English writer Aldous Huxley and a central figure in his personal and social life.
-
B.
Sophie Wilmès
Sophie Wilmès is a Belgian liberal politician who became the country’s first female prime minister, leading the federal government during the initial phase of the COVID-19 pandemic.
-
C.
Celine Buckens
Celine Buckens is a Belgian-born British actress best known for her breakout role in Steven Spielberg’s film "War Horse" and subsequent work in television dramas.
-
D.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
E.
Sara Catrijne van der Straten
Sara Catrijne van der Straten was a 17th-century Dutch woman best known as the wife of admiral Cornelis Tromp, a prominent naval commander of the Dutch Republic.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d3be988190bf118c4a87415613 |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc55ae8248190acda4f10eb5ce2e7 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:04 p.m.