Triple
T5977978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carybé |
E133045
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bernabó
Bernabó is the Italian-origin surname of the Argentine-Brazilian artist and illustrator known as Carybé (Héctor Julio Páride Bernabó).
|
E558948
|
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: Bernabó | Statement: [Carybé, familyName, Bernabó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernabó Context triple: [Carybé, familyName, Bernabó]
-
A.
Antonio Vandone di Cortemilia
Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
-
B.
Malatesta
Malatesta is an Italian surname most famously associated with Errico Malatesta, a prominent anarchist thinker and activist of the late 19th and early 20th centuries.
-
C.
Tebald
Tebald is a masculine given name of medieval European origin, from which the modern short form "Tibbets" is derived.
-
D.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
E.
Zanobi Buondelmonti
Zanobi Buondelmonti was a Florentine patrician and intellectual of the early 16th century, known primarily as one of the dedicatees and fictional interlocutors in Niccolò Machiavelli’s political dialogues.
- 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: Bernabó Triple: [Carybé, familyName, Bernabó]
Generated description
Bernabó is the Italian-origin surname of the Argentine-Brazilian artist and illustrator known as Carybé (Héctor Julio Páride Bernabó).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernabó Target entity description: Bernabó is the Italian-origin surname of the Argentine-Brazilian artist and illustrator known as Carybé (Héctor Julio Páride Bernabó).
-
A.
Antonio Vandone di Cortemilia
Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
-
B.
Malatesta
Malatesta is an Italian surname most famously associated with Errico Malatesta, a prominent anarchist thinker and activist of the late 19th and early 20th centuries.
-
C.
Tebald
Tebald is a masculine given name of medieval European origin, from which the modern short form "Tibbets" is derived.
-
D.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
-
E.
Zanobi Buondelmonti
Zanobi Buondelmonti was a Florentine patrician and intellectual of the early 16th century, known primarily as one of the dedicatees and fictional interlocutors in Niccolò Machiavelli’s political dialogues.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3e686c81908910c0881ac1624d |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f9030f088190a6c3df60551cb65e |
completed | March 23, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f9ba4ca88190b783545fbf34b69b |
completed | March 23, 2026, 8:28 a.m. |
Created at: March 22, 2026, 4:04 p.m.