Triple
T17177617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Women |
E416901
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Eleonora Brown
Eleonora Brown is an Italian actress best known for her role as Sophia Loren’s daughter in the 1960 film "Two Women."
|
E1256879
|
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: Eleonora Brown | Statement: [Two Women, starring, Eleonora Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleonora Brown Context triple: [Two Women, starring, Eleonora Brown]
-
A.
Maria Ricossa
Maria Ricossa is a Canadian actress known for her work in film, television, and theatre.
-
B.
Eleonora Vallone
Eleonora Vallone is an Italian actress and former model known for her film and television work in the late 20th century.
-
C.
Eleanora Giovanna Scoglio
Eleanora Giovanna Scoglio was the Italian mother of actress Gia Scala, connected to her daughter's life in both Italy and later in the United States.
-
D.
Tonia Antoniazzi
Tonia Antoniazzi is a British Labour Party politician and Member of Parliament known for representing the Gower constituency and advocating on issues such as public services and social justice.
-
E.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
- 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: Eleonora Brown Triple: [Two Women, starring, Eleonora Brown]
Generated description
Eleonora Brown is an Italian actress best known for her role as Sophia Loren’s daughter in the 1960 film "Two Women."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eleonora Brown Target entity description: Eleonora Brown is an Italian actress best known for her role as Sophia Loren’s daughter in the 1960 film "Two Women."
-
A.
Maria Ricossa
Maria Ricossa is a Canadian actress known for her work in film, television, and theatre.
-
B.
Eleonora Vallone
Eleonora Vallone is an Italian actress and former model known for her film and television work in the late 20th century.
-
C.
Eleanora Giovanna Scoglio
Eleanora Giovanna Scoglio was the Italian mother of actress Gia Scala, connected to her daughter's life in both Italy and later in the United States.
-
D.
Tonia Antoniazzi
Tonia Antoniazzi is a British Labour Party politician and Member of Parliament known for representing the Gower constituency and advocating on issues such as public services and social justice.
-
E.
Cecilia Frugiuele
Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016747a8908190a7ce1408abc70c47 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016838367c8190b5117d5314f71a16 |
completed | May 11, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0168976af88190a5f839a93538ac6f |
completed | May 11, 2026, 5:26 a.m. |
Created at: April 10, 2026, 5:37 a.m.