Triple
T3749774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalba Carriera |
E81298
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Carriera
Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
|
E383676
|
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: Carriera | Statement: [Rosalba Carriera, familyName, Carriera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carriera Context triple: [Rosalba Carriera, familyName, Carriera]
-
A.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
B.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
-
C.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
D.
Carreras
Carreras is a Spanish surname most famously associated with José Carreras, the renowned operatic tenor and member of The Three Tenors.
-
E.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
- 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: Carriera Triple: [Rosalba Carriera, familyName, Carriera]
Generated description
Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carriera Target entity description: Carriera is the Italian surname of Rosalba Carriera, an influential 18th-century Venetian Rococo painter renowned for her pastel portraits.
-
A.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
B.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
-
C.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
D.
Carreras
Carreras is a Spanish surname most famously associated with José Carreras, the renowned operatic tenor and member of The Three Tenors.
-
E.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6d0ac4819092c9a41cc60f518d |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db31f964819087bab143f638754f |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dbbc23f08190a03ef4e4197398a4 |
completed | March 14, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dcac6fdc81908998415ffe1aabaa |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:35 p.m.