Triple
T15094728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucrezia Tornabuoni |
E360509
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tornabuoni
Tornabuoni is the surname of a prominent Florentine family influential in the political and cultural life of Renaissance Italy.
|
E1137554
|
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: Tornabuoni | Statement: [Lucrezia Tornabuoni, familyName, Tornabuoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tornabuoni Context triple: [Lucrezia Tornabuoni, familyName, Tornabuoni]
-
A.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
-
B.
Lattanzi
Lattanzi is an Italian-origin surname borne by various notable individuals in fields such as entertainment and sports.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Trevisani
Trevisani are the inhabitants or natives of the Italian city of Treviso, typically associated with its local culture and traditions.
-
E.
Rutigliano
Rutigliano is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and historic architecture.
- 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: Tornabuoni Triple: [Lucrezia Tornabuoni, familyName, Tornabuoni]
Generated description
Tornabuoni is the surname of a prominent Florentine family influential in the political and cultural life of Renaissance Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tornabuoni Target entity description: Tornabuoni is the surname of a prominent Florentine family influential in the political and cultural life of Renaissance Italy.
-
A.
Piermarini
Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
-
B.
Lattanzi
Lattanzi is an Italian-origin surname borne by various notable individuals in fields such as entertainment and sports.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Trevisani
Trevisani are the inhabitants or natives of the Italian city of Treviso, typically associated with its local culture and traditions.
-
E.
Rutigliano
Rutigliano is a town and comune in the Apulia region of southern Italy, known for its agricultural traditions and historic architecture.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae21134c81908939ad6ce46703d8 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb37427a881908cf95f60b06251d4 |
completed | May 9, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb429517c8190a91cc6b50345d889 |
completed | May 9, 2026, 4:12 a.m. |
Created at: April 10, 2026, 3:04 a.m.