Triple
T16832870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinando Galiani |
E409192
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Galiani
Galiani is an Italian surname most notably associated with Ferdinando Galiani, an 18th-century economist, diplomat, and Enlightenment thinker.
|
E1235631
|
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: Galiani | Statement: [Ferdinando Galiani, familyName, Galiani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galiani Context triple: [Ferdinando Galiani, familyName, Galiani]
-
A.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
B.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
C.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
D.
Casimiro
Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
-
E.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
- 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: Galiani Triple: [Ferdinando Galiani, familyName, Galiani]
Generated description
Galiani is an Italian surname most notably associated with Ferdinando Galiani, an 18th-century economist, diplomat, and Enlightenment thinker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galiani Target entity description: Galiani is an Italian surname most notably associated with Ferdinando Galiani, an 18th-century economist, diplomat, and Enlightenment thinker.
-
A.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
B.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
C.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
D.
Casimiro
Casimiro is the commonly used name for Brazilian defensive midfielder Casemiro, a highly decorated footballer known for his success with Real Madrid and the Brazil national team.
-
E.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b318b8b88190b3266f4f06a955c1 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a2a5348190b14af8ab88a281b7 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b475236c8190a345b4c8d3c6cfcf |
completed | May 10, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b6dfbf448190b41bb7d103ddfc0a |
completed | May 10, 2026, 4:48 p.m. |
Created at: April 10, 2026, 5:23 a.m.