Triple
T3619403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justinian dynasty |
E76684
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Sophia
Sophia was a prominent Byzantine empress of the Justinian dynasty, known for her political influence and role in imperial court affairs during the 6th century.
|
E375221
|
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: Sophia | Statement: [Justinian dynasty, notableMember, Sophia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Context triple: [Justinian dynasty, notableMember, Sophia]
-
A.
Sophia
Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
-
B.
Sophia
Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
-
C.
Sophia
Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
D.
Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
-
E.
Sophie
Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
- 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: Sophia Triple: [Justinian dynasty, notableMember, Sophia]
Generated description
Sophia was a prominent Byzantine empress of the Justinian dynasty, known for her political influence and role in imperial court affairs during the 6th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophia Target entity description: Sophia was a prominent Byzantine empress of the Justinian dynasty, known for her political influence and role in imperial court affairs during the 6th century.
-
A.
Sophia
Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
-
B.
Sophia
Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
-
C.
Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
-
D.
Sophia
Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
E.
Sophie
Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2b85f6c819091000e231d9dac87 |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f0ac4208190b38214ecb8c043e8 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b452bcaec08190bd01e54d4b5acf3b |
completed | March 13, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45b4c86e08190bc571a13696c9078 |
completed | March 13, 2026, 6:45 p.m. |
Created at: March 8, 2026, 3:23 p.m.