Triple
T17595490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortunata |
E428558
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Alessia Barela
Alessia Barela is an Italian actress known for her work in film, television, and theater.
|
E1299333
|
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: Alessia Barela | Statement: [Fortunata, castMember, Alessia Barela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessia Barela Context triple: [Fortunata, castMember, Alessia Barela]
-
A.
Alessia Demachi
Alessia Demachi is the central protagonist of the novel "The Mister," around whom the story’s romantic and dramatic events revolve.
-
B.
Alexia Barroso
Alexia Barroso is the stepdaughter of actor Matt Damon, known for largely maintaining a private life outside of the public spotlight.
-
C.
Eliana De Santis
Eliana De Santis is an actress known for her role in the French television film "Les Noces rouges."
-
D.
Alixandra Fazzina
Alixandra Fazzina is a British photojournalist renowned for her powerful documentation of refugees, conflict, and humanitarian crises around the world.
-
E.
Sara Serraiocco
Sara Serraiocco is an Italian actress known for her acclaimed film and television roles, including a prominent part in the sci-fi thriller series "Counterpart."
- 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: Alessia Barela Triple: [Fortunata, castMember, Alessia Barela]
Generated description
Alessia Barela is an Italian actress known for her work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alessia Barela Target entity description: Alessia Barela is an Italian actress known for her work in film, television, and theater.
-
A.
Alessia Demachi
Alessia Demachi is the central protagonist of the novel "The Mister," around whom the story’s romantic and dramatic events revolve.
-
B.
Alexia Barroso
Alexia Barroso is the stepdaughter of actor Matt Damon, known for largely maintaining a private life outside of the public spotlight.
-
C.
Eliana De Santis
Eliana De Santis is an actress known for her role in the French television film "Les Noces rouges."
-
D.
Alixandra Fazzina
Alixandra Fazzina is a British photojournalist renowned for her powerful documentation of refugees, conflict, and humanitarian crises around the world.
-
E.
Sara Serraiocco
Sara Serraiocco is an Italian actress known for her acclaimed film and television roles, including a prominent part in the sci-fi thriller series "Counterpart."
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032ff84a2c819081a92ca7fd29b122 |
completed | May 12, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0330b320b88190983431a57c4ea8bf |
completed | May 12, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03348b50a881909977c08348744725 |
completed | May 12, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:51 a.m.