Triple
T5371576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clelia Serbelloni |
E108861
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
|
E516259
|
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: Clelia | Statement: [Clelia Serbelloni, hasGivenName, Clelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clelia Context triple: [Clelia Serbelloni, hasGivenName, Clelia]
-
A.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
-
B.
Henrietta
Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
-
C.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
-
D.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
E.
Sidonia
Sidonia is a brilliant, enigmatic Jewish financier and philosopher in Benjamin Disraeli’s novel "Coningsby, or The New Generation," often seen as a reflection of Disraeli’s views on power, politics, and Jewish identity.
- 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: Clelia Triple: [Clelia Serbelloni, hasGivenName, Clelia]
Generated description
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clelia Target entity description: Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
A.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
-
B.
Henrietta
Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
-
C.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
-
D.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
E.
Sidonia
Sidonia is a brilliant, enigmatic Jewish financier and philosopher in Benjamin Disraeli’s novel "Coningsby, or The New Generation," often seen as a reflection of Disraeli’s views on power, politics, and Jewish identity.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86aa0f5c8190ba96554e75696f8e |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29347a18819083115fe68db8e708 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2a23ba1881909ddc549728bbc2d3 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2e6d5f9081908327dff0058241f0 |
completed | March 21, 2026, 11:49 p.m. |
Created at: March 20, 2026, 2:02 p.m.