Triple
T17309395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikephoros I |
E420251
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Prokopia
Prokopia was a Byzantine empress consort of Emperor Nikephoros I, known for her political influence and involvement in imperial affairs during the early 9th century.
|
E1261931
|
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: Prokopia | Statement: [Nikephoros I, spouse, Prokopia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prokopia Context triple: [Nikephoros I, spouse, Prokopia]
-
A.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
B.
Emerich Coreth
Emerich Coreth was an Austrian Catholic philosopher and Jesuit priest known for his influential work in transcendental Thomism and metaphysics.
-
C.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
-
D.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
E.
Paterva
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
- 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: Prokopia Triple: [Nikephoros I, spouse, Prokopia]
Generated description
Prokopia was a Byzantine empress consort of Emperor Nikephoros I, known for her political influence and involvement in imperial affairs during the early 9th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prokopia Target entity description: Prokopia was a Byzantine empress consort of Emperor Nikephoros I, known for her political influence and involvement in imperial affairs during the early 9th century.
-
A.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
B.
Emerich Coreth
Emerich Coreth was an Austrian Catholic philosopher and Jesuit priest known for his influential work in transcendental Thomism and metaphysics.
-
C.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
-
D.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
E.
Paterva
Paterva is a South African software company best known for creating Maltego, a powerful open-source intelligence and link analysis tool used in cybersecurity and digital investigations.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439970cf08190bc9e49ba830da0d9 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e30934819087b7c838c8874aff |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0185a7e5188190a15d835019fc226f |
completed | May 11, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0186504460819097f80978b03c7296 |
completed | May 11, 2026, 7:33 a.m. |
Created at: April 10, 2026, 5:43 a.m.