Triple
T12212228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luise Maas |
E290992
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Luise |
E39188
|
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: Luise | Statement: [Luise Maas, hasGivenName, Luise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luise Context triple: [Luise Maas, hasGivenName, Luise]
-
A.
Luise
chosen
Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
-
B.
Maria Christina
Maria Christina, known as Princess Christina of the Netherlands, was a Dutch royal and youngest daughter of Queen Juliana and Prince Bernhard who became known for her work as a singer and music educator.
-
C.
Maria Christina
Maria Christina is a feminine given name of Latin origin, historically borne by various European noblewomen and royals.
-
D.
Luise of Brunswick-Wolfenbüttel
Luise of Brunswick-Wolfenbüttel was an 18th-century German princess of the House of Brunswick-Wolfenbüttel who became a Prussian royal through her marriage into the Hohenzollern dynasty.
-
E.
Maria Luise Katharina Breslau
Maria Luise Katharina Breslau was a Swiss-born painter of the late 19th and early 20th centuries, known for her portraits and association with the Parisian art scene.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 8, 2026, 9:51 p.m.