Triple
T3483150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Etruria |
E73541
|
entity |
| Predicate | headOfStateTitle |
P593
|
FINISHED |
| Object |
King of Etruria
The King of Etruria was the monarch who ruled the short-lived Napoleonic client state of the Kingdom of Etruria in early 19th-century Italy.
|
E360212
|
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: King of Etruria | Statement: [Kingdom of Etruria, headOfStateTitle, King of Etruria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King of Etruria Context triple: [Kingdom of Etruria, headOfStateTitle, King of Etruria]
-
A.
Sicel
Sicel was an ancient Indo-European language once spoken by the Sicel people in eastern Sicily before the dominance of Latin and Greek in the region.
-
B.
Acrisius
Acrisius is a king in Greek mythology, best known as the father of Danaë and the ill-fated grandfather of the hero Perseus.
-
C.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
D.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
-
E.
Segusio
Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
- 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: King of Etruria Triple: [Kingdom of Etruria, headOfStateTitle, King of Etruria]
Generated description
The King of Etruria was the monarch who ruled the short-lived Napoleonic client state of the Kingdom of Etruria in early 19th-century Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King of Etruria Target entity description: The King of Etruria was the monarch who ruled the short-lived Napoleonic client state of the Kingdom of Etruria in early 19th-century Italy.
-
A.
Sicel
Sicel was an ancient Indo-European language once spoken by the Sicel people in eastern Sicily before the dominance of Latin and Greek in the region.
-
B.
Acrisius
Acrisius is a king in Greek mythology, best known as the father of Danaë and the ill-fated grandfather of the hero Perseus.
-
C.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
D.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
-
E.
Segusio
Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb781e9c8190810fdd814f506127 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36820c90c819091b68cff7a0a2cda |
completed | March 13, 2026, 1:28 a.m. |
| NEDg | Description generation | batch_69b3687bb5148190b73fd365383c4a89 |
completed | March 13, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368ea71d081908332595324d8f873 |
completed | March 13, 2026, 1:31 a.m. |
Created at: March 8, 2026, 3:17 p.m.