Triple
T4151486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Loren |
E89915
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scicolone
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
|
E416900
|
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: Scicolone | Statement: [Sophia Loren, familyName, Scicolone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scicolone Context triple: [Sophia Loren, familyName, Scicolone]
-
A.
Nicolosi
Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
-
B.
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
-
C.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
D.
Cleon
Cleon was an influential Athenian statesman and general during the Peloponnesian War, known for his aggressive policies and prominent role in Athenian politics.
-
E.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
- 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: Scicolone Triple: [Sophia Loren, familyName, Scicolone]
Generated description
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scicolone Target entity description: Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
A.
Nicolosi
Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
-
B.
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
-
C.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
D.
Cleon
Cleon was an influential Athenian statesman and general during the Peloponnesian War, known for his aggressive policies and prominent role in Athenian politics.
-
E.
Papaleo
Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0276363081908e4d17684291b547 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3707a8819082bafd0d11b7359f |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b58059d9808190873c920886c31131 |
completed | March 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580d448708190a722c25726a40562 |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.