Triple
T19280762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Segni |
E482180
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laura Carta Caprino
Laura Carta Caprino was an Italian noblewoman best known as the wife of President Antonio Segni and as Italy’s First Lady during his tenure.
|
E1368831
|
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: Laura Carta Caprino | Statement: [Antonio Segni, spouse, Laura Carta Caprino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Carta Caprino Context triple: [Antonio Segni, spouse, Laura Carta Caprino]
-
A.
Antonietta Portulano
Antonietta Portulano was the wife of Italian playwright and Nobel laureate Luigi Pirandello, known largely through biographical accounts of his personal life and marriage.
-
B.
Vanda Capriolo
Vanda Capriolo is an actress known for appearing in the acclaimed romantic drama film "Call Me by Your Name."
-
C.
Caterina Solazzi
Caterina Solazzi was the mother of Giovanni Maria Mastai-Ferretti, who later became Pope Pius IX.
-
D.
Clelia Monti
Clelia Monti is best known as the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
-
E.
Anna Cancogni
Anna Cancogni is a literary translator best known for bringing Umberto Eco’s works, including *The Open Work*, into English.
- 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: Laura Carta Caprino Triple: [Antonio Segni, spouse, Laura Carta Caprino]
Generated description
Laura Carta Caprino was an Italian noblewoman best known as the wife of President Antonio Segni and as Italy’s First Lady during his tenure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Carta Caprino Target entity description: Laura Carta Caprino was an Italian noblewoman best known as the wife of President Antonio Segni and as Italy’s First Lady during his tenure.
-
A.
Antonietta Portulano
Antonietta Portulano was the wife of Italian playwright and Nobel laureate Luigi Pirandello, known largely through biographical accounts of his personal life and marriage.
-
B.
Vanda Capriolo
Vanda Capriolo is an actress known for appearing in the acclaimed romantic drama film "Call Me by Your Name."
-
C.
Caterina Solazzi
Caterina Solazzi was the mother of Giovanni Maria Mastai-Ferretti, who later became Pope Pius IX.
-
D.
Clelia Monti
Clelia Monti is best known as the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
-
E.
Anna Cancogni
Anna Cancogni is a literary translator best known for bringing Umberto Eco’s works, including *The Open Work*, into English.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbfdfaf481909e0434f33053cc62 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07144b34bc8190ade82f281a54818f |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a07150e4fa0819083e5de402936a0c3 |
completed | May 15, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0715e6c08c8190892252dea921dc6f |
completed | May 15, 2026, 12:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.