Triple
T15975569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Margaret of Hungary |
E387434
|
entity |
| Predicate | hasHagiography |
P103598
|
FINISHED |
| Object |
Legenda maior of Saint Margaret of Hungary
The *Legenda maior of Saint Margaret of Hungary* is a medieval Latin hagiographical biography that recounts the life, virtues, and miracles of the Dominican princess-saint Margaret, daughter of King Béla IV of Hungary.
|
E1185673
|
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: Legenda maior of Saint Margaret of Hungary | Statement: [Saint Margaret of Hungary, hasHagiography, Legenda maior of Saint Margaret of Hungary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legenda maior of Saint Margaret of Hungary Context triple: [Saint Margaret of Hungary, hasHagiography, Legenda maior of Saint Margaret of Hungary]
-
A.
Saint Margaret of Hungary
Saint Margaret of Hungary was a 13th-century Dominican nun and Hungarian princess renowned for her piety, asceticism, and charitable works, later canonized as a Catholic saint.
-
B.
Saint Elisabeth of Hungary
Saint Elisabeth of Hungary was a 13th-century princess renowned for her deep Christian piety and charitable works, later canonized as a Catholic saint and widely venerated as a patron of the poor and the sick.
-
C.
Our Lady of Hungary
Our Lady of Hungary is a Marian title of the Virgin Mary particularly revered as the patroness and protector of Hungary and its people.
-
D.
Piroska of Hungary
Piroska of Hungary, later known as Empress Irene, was a Hungarian princess who became Byzantine empress consort and an important religious patron after marrying Emperor John II Komnenos.
-
E.
Cunegunda of Hungary
Cunegunda of Hungary, also known as Saint Kinga, was a 13th-century Hungarian princess and Polish queen renowned for her piety, charitable works, and role in strengthening ties between Hungary and Poland.
- 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: Legenda maior of Saint Margaret of Hungary Triple: [Saint Margaret of Hungary, hasHagiography, Legenda maior of Saint Margaret of Hungary]
Generated description
The *Legenda maior of Saint Margaret of Hungary* is a medieval Latin hagiographical biography that recounts the life, virtues, and miracles of the Dominican princess-saint Margaret, daughter of King Béla IV of Hungary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legenda maior of Saint Margaret of Hungary Target entity description: The *Legenda maior of Saint Margaret of Hungary* is a medieval Latin hagiographical biography that recounts the life, virtues, and miracles of the Dominican princess-saint Margaret, daughter of King Béla IV of Hungary.
-
A.
Saint Margaret of Hungary
Saint Margaret of Hungary was a 13th-century Dominican nun and Hungarian princess renowned for her piety, asceticism, and charitable works, later canonized as a Catholic saint.
-
B.
Saint Elisabeth of Hungary
Saint Elisabeth of Hungary was a 13th-century princess renowned for her deep Christian piety and charitable works, later canonized as a Catholic saint and widely venerated as a patron of the poor and the sick.
-
C.
Our Lady of Hungary
Our Lady of Hungary is a Marian title of the Virgin Mary particularly revered as the patroness and protector of Hungary and its people.
-
D.
Piroska of Hungary
Piroska of Hungary, later known as Empress Irene, was a Hungarian princess who became Byzantine empress consort and an important religious patron after marrying Emperor John II Komnenos.
-
E.
Cunegunda of Hungary
Cunegunda of Hungary, also known as Saint Kinga, was a 13th-century Hungarian princess and Polish queen renowned for her piety, charitable works, and role in strengthening ties between Hungary and Poland.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572c216c81908f2070d2a87609c2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8ce7788190a3e0aefc9a29d58a |
completed | May 9, 2026, 11:09 p.m. |
| NEDg | Description generation | batch_69ffbf50d5fc8190a045846f046e04cf |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfb1ed7c81908771dedce172707a |
completed | May 9, 2026, 11:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.