Triple
T7496116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni |
E177132
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object |
Nanni
Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
|
E668557
|
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: Nanni | Statement: [Giovanni, shortForm, Nanni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanni Context triple: [Giovanni, shortForm, Nanni]
-
A.
Nino
Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
-
B.
Gianetta
Gianetta is one of the lively, romantic young Venetian girls in Gilbert and Sullivan’s comic opera "The Gondoliers," who becomes entangled in the opera’s mistaken-identity royal plot.
-
C.
Marica
Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
-
D.
Mimì
Mimì is the tragic seamstress heroine of Giacomo Puccini's opera "La Bohème," renowned as one of the most beloved soprano roles in the operatic repertoire.
-
E.
Gabrieletta
Gabrieletta is an Italian feminine diminutive given name derived from Gabriele, typically conveying affection or smallness.
- 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: Nanni Triple: [Giovanni, shortForm, Nanni]
Generated description
Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanni Target entity description: Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
-
A.
Nino
Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
-
B.
Gianetta
Gianetta is one of the lively, romantic young Venetian girls in Gilbert and Sullivan’s comic opera "The Gondoliers," who becomes entangled in the opera’s mistaken-identity royal plot.
-
C.
Marica
Marica is a figure in Roman mythology, often associated with the Latin king Latinus as his mother and sometimes linked to a local water or nymph deity.
-
D.
Mimì
Mimì is the tragic seamstress heroine of Giacomo Puccini's opera "La Bohème," renowned as one of the most beloved soprano roles in the operatic repertoire.
-
E.
Gabrieletta
Gabrieletta is an Italian feminine diminutive given name derived from Gabriele, typically conveying affection or smallness.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:43 p.m.