Triple
T14815877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Carbonara |
E348312
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Carbonara
Carbonara is a classic Italian pasta dish typically made with eggs, hard cheese, cured pork, and black pepper.
|
E1122435
|
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: Carbonara | Statement: [Gerard Carbonara, familyName, Carbonara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carbonara Context triple: [Gerard Carbonara, familyName, Carbonara]
-
A.
Carbonara di Nola
Carbonara di Nola is a small municipality in the Campania region of southern Italy, situated in the province of Naples within the historic Nola area.
-
B.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
C.
Neapolitan
Neapolitan is a Romance language spoken in and around Naples and much of southern Italy, known for its distinct phonology, vocabulary, and rich literary and musical traditions.
-
D.
Margherita
Margherita is a coal-mining town in Assam, India, known for its tea gardens and proximity to the Patkai hills near the India–Myanmar border.
-
E.
Margherita
Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
- 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: Carbonara Triple: [Gerard Carbonara, familyName, Carbonara]
Generated description
Carbonara is a classic Italian pasta dish typically made with eggs, hard cheese, cured pork, and black pepper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carbonara Target entity description: Carbonara is a classic Italian pasta dish typically made with eggs, hard cheese, cured pork, and black pepper.
-
A.
Carbonara di Nola
Carbonara di Nola is a small municipality in the Campania region of southern Italy, situated in the province of Naples within the historic Nola area.
-
B.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
C.
Neapolitan
Neapolitan is a Romance language spoken in and around Naples and much of southern Italy, known for its distinct phonology, vocabulary, and rich literary and musical traditions.
-
D.
Margherita
Margherita is a coal-mining town in Assam, India, known for its tea gardens and proximity to the Patkai hills near the India–Myanmar border.
-
E.
Margherita
Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a104b508190aeb51059b6f67c5f |
completed | May 8, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3add5b48819088607fe01fb4a9b6 |
completed | May 8, 2026, 7:34 p.m. |
Created at: April 10, 2026, 1:49 a.m.