Triple
T19606572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marit |
E470619
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object |
Margit
Margit is a feminine given name used in various European countries, often considered a form of Margaret.
|
E1384702
|
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: Margit | Statement: [Marit, variantOf, Margit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margit Context triple: [Marit, variantOf, Margit]
-
A.
Margit körút
Margit körút is a major boulevard in Budapest, Hungary, known for connecting the Buda side’s central districts and serving as an important traffic and public transport artery near the Danube.
-
B.
Märtha
Märtha was a Swedish princess and Crown Princess of Norway, known for her humanitarian work and influential role during World War II.
-
C.
Gretel
Gretel is a German feminine given name best known from the fairy tale "Hansel and Gretel," where it is used as the name of the young girl protagonist.
-
D.
Liesl
Liesl is a feminine given name, commonly used as a diminutive of names like Elisabeth in German-speaking regions.
-
E.
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.
- 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: Margit Triple: [Marit, variantOf, Margit]
Generated description
Margit is a feminine given name used in various European countries, often considered a form of Margaret.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margit Target entity description: Margit is a feminine given name used in various European countries, often considered a form of Margaret.
-
A.
Margit körút
Margit körút is a major boulevard in Budapest, Hungary, known for connecting the Buda side’s central districts and serving as an important traffic and public transport artery near the Danube.
-
B.
Märtha
Märtha was a Swedish princess and Crown Princess of Norway, known for her humanitarian work and influential role during World War II.
-
C.
Gretel
Gretel is a German feminine given name best known from the fairy tale "Hansel and Gretel," where it is used as the name of the young girl protagonist.
-
D.
Liesl
Liesl is a feminine given name, commonly used as a diminutive of names like Elisabeth in German-speaking regions.
-
E.
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.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c7ed24819091502fe0d5e139bc |
completed | April 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f2248088190b75dd2697841ae7b |
completed | May 15, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a075fac21e88190b01cac2860891f01 |
completed | May 15, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07604b2fe4819090be363844abf2ec |
completed | May 15, 2026, 6:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.