Triple
T5831869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia of Mecklenburg-Güstrow |
E129368
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Elizabeth of Denmark, Duchess of Mecklenburg
Elizabeth of Denmark, Duchess of Mecklenburg was a 16th-century Danish princess, daughter of King Frederick I of Denmark, who became Duchess of Mecklenburg through marriage and the mother of Sophia of Mecklenburg-Güstrow, linking the Danish and German ducal houses.
|
E636118
|
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: Elizabeth of Denmark, Duchess of Mecklenburg | Statement: [Sophia of Mecklenburg-Güstrow, mother, Elizabeth of Denmark, Duchess of Mecklenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth of Denmark, Duchess of Mecklenburg Context triple: [Sophia of Mecklenburg-Güstrow, mother, Elizabeth of Denmark, Duchess of Mecklenburg]
-
A.
Margaret of Denmark
Margaret of Denmark was a 15th-century Danish princess who became Queen of Scotland through her marriage to King James III.
-
B.
Margaret of Schleswig-Holstein-Sonderburg
Margaret of Schleswig-Holstein-Sonderburg was a German noblewoman of the House of Oldenburg and the mother of Johan Maurits van Nassau-Siegen, a prominent Dutch colonial governor and military commander.
-
C.
Louise of Denmark
Louise of Denmark was an 18th-century Danish princess of the House of Oldenburg who became Queen of Norway and Denmark through her marriage to King Frederick V.
-
D.
Margaret of Anhalt-Köthen
Margaret of Anhalt-Köthen was a German princess from the House of Ascania who became Electress of Saxony through her marriage to John the Steadfast.
-
E.
Dorothea of Saxe-Lauenburg
Dorothea of Saxe-Lauenburg was a 16th-century German duchess who became Queen of Denmark and Norway as the wife of King Christian III and the mother of King Frederick II.
- 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: Elizabeth of Denmark, Duchess of Mecklenburg Triple: [Sophia of Mecklenburg-Güstrow, mother, Elizabeth of Denmark, Duchess of Mecklenburg]
Generated description
Elizabeth of Denmark, Duchess of Mecklenburg was a 16th-century Danish princess, daughter of King Frederick I of Denmark, who became Duchess of Mecklenburg through marriage and the mother of Sophia of Mecklenburg-Güstrow, linking the Danish and German ducal houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth of Denmark, Duchess of Mecklenburg Target entity description: Elizabeth of Denmark, Duchess of Mecklenburg was a 16th-century Danish princess, daughter of King Frederick I of Denmark, who became Duchess of Mecklenburg through marriage and the mother of Sophia of Mecklenburg-Güstrow, linking the Danish and German ducal houses.
-
A.
Margaret of Denmark
Margaret of Denmark was a 15th-century Danish princess who became Queen of Scotland through her marriage to King James III.
-
B.
Margaret of Schleswig-Holstein-Sonderburg
Margaret of Schleswig-Holstein-Sonderburg was a German noblewoman of the House of Oldenburg and the mother of Johan Maurits van Nassau-Siegen, a prominent Dutch colonial governor and military commander.
-
C.
Louise of Denmark
Louise of Denmark was an 18th-century Danish princess of the House of Oldenburg who became Queen of Norway and Denmark through her marriage to King Frederick V.
-
D.
Margaret of Anhalt-Köthen
Margaret of Anhalt-Köthen was a German princess from the House of Ascania who became Electress of Saxony through her marriage to John the Steadfast.
-
E.
Dorothea of Saxe-Lauenburg
Dorothea of Saxe-Lauenburg was a 16th-century German duchess who became Queen of Denmark and Norway as the wife of King Christian III and the mother of King Frederick II.
- 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_69c0346c331c8190bac050d425961485 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77510f80c81908fe7784bdaa640c5 |
completed | March 28, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69c777671e248190b0b9a38f798446d9 |
completed | March 28, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c777c80d6c8190b4e7cd0243c9042e |
completed | March 28, 2026, 6:40 a.m. |
Created at: March 22, 2026, 3:54 p.m.