Triple
T15439940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlino |
E369871
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object |
Carlone
Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
|
E1158070
|
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: Carlone | Statement: [Carlino, hasRelatedName, Carlone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlone Context triple: [Carlino, hasRelatedName, Carlone]
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
C.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
D.
Gemmano
Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
-
E.
Carlino
Carlino is a secondary antagonist in the thriller play and film "Wait Until Dark," portrayed as a con man involved in a scheme to recover hidden heroin from an unsuspecting blind woman.
- 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: Carlone Triple: [Carlino, hasRelatedName, Carlone]
Generated description
Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlone Target entity description: Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
-
A.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
B.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
C.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
D.
Gemmano
Gemmano is a small Italian hill town in the Emilia-Romagna region, known for its historic center and scenic location near the Adriatic coast.
-
E.
Carlino
Carlino is a secondary antagonist in the thriller play and film "Wait Until Dark," portrayed as a con man involved in a scheme to recover hidden heroin from an unsuspecting blind woman.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22e2f298819085c90e28acafef44 |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.