Triple
T5934737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulio Cesare |
E132015
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Sesto
Sesto is a central operatic character in Handel’s “Giulio Cesare,” portrayed as a young Roman seeking to avenge his father’s death.
|
E556395
|
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: Sesto | Statement: [Giulio Cesare, featuresCharacter, Sesto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesto Context triple: [Giulio Cesare, featuresCharacter, Sesto]
-
A.
Sesto Calende
Sesto Calende is a town in northern Italy known for significant archaeological finds from the Lepontic Celtic culture, particularly rich Iron Age burial sites.
-
B.
Caprile
Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
-
C.
Enna
Enna is a historic hilltop city in central Sicily, Italy, known for its elevated position and panoramic views over the island.
-
D.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
E.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
- 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: Sesto Triple: [Giulio Cesare, featuresCharacter, Sesto]
Generated description
Sesto is a central operatic character in Handel’s “Giulio Cesare,” portrayed as a young Roman seeking to avenge his father’s death.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sesto Target entity description: Sesto is a central operatic character in Handel’s “Giulio Cesare,” portrayed as a young Roman seeking to avenge his father’s death.
-
A.
Sesto Calende
Sesto Calende is a town in northern Italy known for significant archaeological finds from the Lepontic Celtic culture, particularly rich Iron Age burial sites.
-
B.
Caprile
Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
-
C.
Enna
Enna is a historic hilltop city in central Sicily, Italy, known for its elevated position and panoramic views over the island.
-
D.
Maenza
Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
-
E.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c46fabf081908484ba066c25187b |
completed | March 23, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4f21528819093a36c07e2637446 |
completed | March 23, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4 p.m.