Triple
T7814014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counting Stars |
E180756
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Alessandro Benassi
Alessandro Benassi is an Italian songwriter and music producer known for co-writing the hit song "Counting Stars."
|
E848999
|
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: Alessandro Benassi | Statement: [Counting Stars, writer, Alessandro Benassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessandro Benassi Context triple: [Counting Stars, writer, Alessandro Benassi]
-
A.
Stefano Arnaldi
Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
-
B.
Alessandro Antonelli
Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
-
C.
Paolo Mastropietro
Paolo Mastropietro is an Italian-born actor and restaurateur best known as the husband of Canadian actress and singer Jill Hennessy.
-
D.
Andrea Costa
Andrea Costa was an Italian socialist politician and one of the early leaders of the socialist movement in Italy.
-
E.
Mauro Malavasi
Mauro Malavasi is an Italian composer, producer, and arranger best known for his influential work in disco and R&B, particularly with artists like Change and Luther Vandross.
- 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: Alessandro Benassi Triple: [Counting Stars, writer, Alessandro Benassi]
Generated description
Alessandro Benassi is an Italian songwriter and music producer known for co-writing the hit song "Counting Stars."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alessandro Benassi Target entity description: Alessandro Benassi is an Italian songwriter and music producer known for co-writing the hit song "Counting Stars."
-
A.
Stefano Arnaldi
Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
-
B.
Alessandro Antonelli
Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
-
C.
Paolo Mastropietro
Paolo Mastropietro is an Italian-born actor and restaurateur best known as the husband of Canadian actress and singer Jill Hennessy.
-
D.
Andrea Costa
Andrea Costa was an Italian socialist politician and one of the early leaders of the socialist movement in Italy.
-
E.
Mauro Malavasi
Mauro Malavasi is an Italian composer, producer, and arranger best known for his influential work in disco and R&B, particularly with artists like Change and Luther Vandross.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96c009c81909726e1653b6f1348 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d561b3c7c08190a2212b685f436093 |
completed | April 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69d56283d4508190ad177a6effc86548 |
completed | April 7, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d562d6d17c8190babc9469f59bbf29 |
completed | April 7, 2026, 8:02 p.m. |
Created at: March 30, 2026, 4:38 p.m.