Triple
T3882671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia |
E92860
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object |
Giulia
Giulia is the Italian form of the given name Julia, commonly used for women in Italy and other Italian-speaking communities.
|
E395350
|
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: Giulia | Statement: [Julia, variantForm, Giulia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giulia Context triple: [Julia, variantForm, Giulia]
-
A.
Gabrieletta
Gabrieletta is an Italian feminine diminutive given name derived from Gabriele, typically conveying affection or smallness.
-
B.
Livias
Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
-
C.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
D.
Claudia Bracchitta
Claudia Bracchitta is the first wife of British politician Jeremy Corbyn, whom he married in the 1970s before his later prominence as Labour Party leader.
-
E.
Julias
Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
- 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: Giulia Triple: [Julia, variantForm, Giulia]
Generated description
Giulia is the Italian form of the given name Julia, commonly used for women in Italy and other Italian-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giulia Target entity description: Giulia is the Italian form of the given name Julia, commonly used for women in Italy and other Italian-speaking communities.
-
A.
Gabrieletta
Gabrieletta is an Italian feminine diminutive given name derived from Gabriele, typically conveying affection or smallness.
-
B.
Livias
Livias was an ancient town in the region of Perea, east of the Jordan River, known from classical and biblical-era sources.
-
C.
Letizia
Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
-
D.
Claudia Bracchitta
Claudia Bracchitta is the first wife of British politician Jeremy Corbyn, whom he married in the 1970s before his later prominence as Labour Party leader.
-
E.
Julias
Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512594fa081909ba2afad11f6ea59 |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b513013db481908f8fb5f56470c0d0 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513730a308190a04696da9ff901b0 |
completed | March 14, 2026, 7:51 a.m. |
Created at: March 9, 2026, 3:20 p.m.