Triple
T5830578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry van de Velde |
E129333
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maria Sèthe
Maria Sèthe was the wife and muse of Belgian architect and designer Henry van de Velde, known for her role in his artistic circle and early modernist milieu.
|
E550761
|
NE FINISHED |
How this triple was built (4 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 Sèthe | Statement: [Henry van de Velde, spouse, Maria Sèthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Sèthe Context triple: [Henry van de Velde, spouse, Maria Sèthe]
-
A.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
B.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
-
C.
Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
-
D.
Odile
Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
-
E.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maria Sèthe Triple: [Henry van de Velde, spouse, Maria Sèthe]
Generated description
Maria Sèthe was the wife and muse of Belgian architect and designer Henry van de Velde, known for her role in his artistic circle and early modernist milieu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Sèthe Target entity description: Maria Sèthe was the wife and muse of Belgian architect and designer Henry van de Velde, known for her role in his artistic circle and early modernist milieu.
-
A.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
B.
Maria Magdalena Keverich
Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
-
C.
Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
-
D.
Odile
Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
-
E.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
- F. None of above. chosen
Provenance (5 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346ac31c8190bbd28444f75da875 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a18c48588190b4848dff1c277079 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a33036bc8190b7c0b453a1d8f319 |
completed | March 23, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a38522f0819085514ae6f41c5991 |
completed | March 23, 2026, 2:20 a.m. |
Created at: March 22, 2026, 3:54 p.m.