Triple
T23057180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Crescentini |
E574190
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Crescentini
Crescentini is an Italian surname most notably associated with actress Carolina Crescentini.
|
E1568378
|
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: Crescentini | Statement: [Carolina Crescentini, familyName, Crescentini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crescentini Context triple: [Carolina Crescentini, familyName, Crescentini]
-
A.
Scardanelli
Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
-
B.
Pizzuti
Pizzuti is an Italian-origin surname notably borne by Linda Pizzuti Henry, an American businesswoman and media executive.
-
C.
Cardellini
Cardellini is the surname of American actress Linda Cardellini, known for her roles in "Freaks and Geeks," "ER," and "Dead to Me."
-
D.
Biondello
Biondello is a comic servant character in William Shakespeare’s play "The Taming of the Shrew," known for assisting Lucentio in his schemes.
-
E.
Benaducci
Benaducci is the Italian family name of Lorenzo Boturini Benaducci, an 18th-century historian and antiquarian known for his work on New Spain and Mesoamerican codices.
- 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: Crescentini Triple: [Carolina Crescentini, familyName, Crescentini]
Generated description
Crescentini is an Italian surname most notably associated with actress Carolina Crescentini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crescentini Target entity description: Crescentini is an Italian surname most notably associated with actress Carolina Crescentini.
-
A.
Scardanelli
Scardanelli is an experimental, lyrical prose work by Austrian writer Friederike Mayröcker that blends poetry and fragmented narrative in a highly associative, avant-garde style.
-
B.
Pizzuti
Pizzuti is an Italian-origin surname notably borne by Linda Pizzuti Henry, an American businesswoman and media executive.
-
C.
Cardellini
Cardellini is the surname of American actress Linda Cardellini, known for her roles in "Freaks and Geeks," "ER," and "Dead to Me."
-
D.
Biondello
Biondello is a comic servant character in William Shakespeare’s play "The Taming of the Shrew," known for assisting Lucentio in his schemes.
-
E.
Benaducci
Benaducci is the Italian family name of Lorenzo Boturini Benaducci, an 18th-century historian and antiquarian known for his work on New Spain and Mesoamerican codices.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18681bec48190a8226b3d89d19b9f |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae4657c8190bf4d211e68e8cfa7 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0b8e7ca48190ae8a6a97221cc671 |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c10edd08190b1a270bff6ca80c2 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.