Triple
T14065103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Cafiero |
E338446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cafiero
Cafiero is an Italian surname most notably associated with Carlo Cafiero, a prominent 19th-century anarchist and socialist activist.
|
E1077248
|
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: Cafiero | Statement: [Carlo Cafiero, familyName, Cafiero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cafiero Context triple: [Carlo Cafiero, familyName, Cafiero]
-
A.
Caffa
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
-
B.
Dozza
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Arabica
Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
-
E.
Caffè Torino
Caffè Torino is a historic and elegant café in Turin, Italy, renowned for its classic Belle Époque atmosphere and role as a traditional meeting place for locals and visitors.
- 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: Cafiero Triple: [Carlo Cafiero, familyName, Cafiero]
Generated description
Cafiero is an Italian surname most notably associated with Carlo Cafiero, a prominent 19th-century anarchist and socialist activist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cafiero Target entity description: Cafiero is an Italian surname most notably associated with Carlo Cafiero, a prominent 19th-century anarchist and socialist activist.
-
A.
Caffa
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
-
B.
Dozza
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Arabica
Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
-
E.
Caffè Torino
Caffè Torino is a historic and elegant café in Turin, Italy, renowned for its classic Belle Époque atmosphere and role as a traditional meeting place for locals and visitors.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5689c7f48190a47ca94eaa8a9ef9 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb669111081909ccd167f41571a00 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc17d16008190bfec11ba0c229aae |
completed | May 7, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc1fe9bb0819098aa2655330569cb |
completed | May 7, 2026, 4:46 p.m. |
Created at: April 9, 2026, 10:21 p.m.