Triple
T10975129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante Ferretti |
E259350
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ferretti
Ferretti is an Italian surname most notably associated with acclaimed film production designer and art director Dante Ferretti.
|
E896911
|
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: Ferretti | Statement: [Dante Ferretti, familyName, Ferretti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferretti Context triple: [Dante Ferretti, familyName, Ferretti]
-
A.
Mastai-Ferretti
Mastai-Ferretti is the Italian noble family from which Giovanni Maria Mastai-Ferretti, later Pope Pius IX, originated.
-
B.
Lürssen
Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
-
C.
Fincantieri
Fincantieri is a major Italian shipbuilding company known for constructing cruise ships, naval vessels, and other large commercial and military ships worldwide.
-
D.
Fisker
Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
-
E.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
- 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: Ferretti Triple: [Dante Ferretti, familyName, Ferretti]
Generated description
Ferretti is an Italian surname most notably associated with acclaimed film production designer and art director Dante Ferretti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferretti Target entity description: Ferretti is an Italian surname most notably associated with acclaimed film production designer and art director Dante Ferretti.
-
A.
Mastai-Ferretti
Mastai-Ferretti is the Italian noble family from which Giovanni Maria Mastai-Ferretti, later Pope Pius IX, originated.
-
B.
Lürssen
Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
-
C.
Fincantieri
Fincantieri is a major Italian shipbuilding company known for constructing cruise ships, naval vessels, and other large commercial and military ships worldwide.
-
D.
Fisker
Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
-
E.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7aeb66c8190b9d18642b2ad2ea0 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.