Triple
T20471541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakefield (2016 film) |
E502204
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Victoria Bruno
Victoria Bruno is an actress known for her role in the 2016 film "Wakefield."
|
E1433373
|
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: Victoria Bruno | Statement: [Wakefield (2016 film), starring, Victoria Bruno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria Bruno Context triple: [Wakefield (2016 film), starring, Victoria Bruno]
-
A.
Victoria Vinciguerra
Victoria Vinciguerra is the primary antagonist in the 2015 spy film "The Man from U.N.C.L.E.," a wealthy and ruthless Italian socialite involved in a nuclear weapons conspiracy.
-
B.
Lucia Migliaccio
Lucia Migliaccio was an Italian noblewoman and duchess best known as the morganatic second wife of King Ferdinand I of the Two Sicilies.
-
C.
Anna Finocchiaro
Anna Finocchiaro is an Italian politician and long-serving parliamentarian who has held prominent roles in center-left parties and in the Italian government.
-
D.
Antonia Macri
Antonia Macri is the daughter of Argentine businessman and former president Mauricio Macri.
-
E.
Sophia Meloni
Sophia Meloni is the daughter of American actor Christopher Meloni, known for his roles in television series such as "Law & Order: Special Victims Unit."
- 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: Victoria Bruno Triple: [Wakefield (2016 film), starring, Victoria Bruno]
Generated description
Victoria Bruno is an actress known for her role in the 2016 film "Wakefield."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Victoria Bruno Target entity description: Victoria Bruno is an actress known for her role in the 2016 film "Wakefield."
-
A.
Victoria Vinciguerra
Victoria Vinciguerra is the primary antagonist in the 2015 spy film "The Man from U.N.C.L.E.," a wealthy and ruthless Italian socialite involved in a nuclear weapons conspiracy.
-
B.
Lucia Migliaccio
Lucia Migliaccio was an Italian noblewoman and duchess best known as the morganatic second wife of King Ferdinand I of the Two Sicilies.
-
C.
Anna Finocchiaro
Anna Finocchiaro is an Italian politician and long-serving parliamentarian who has held prominent roles in center-left parties and in the Italian government.
-
D.
Antonia Macri
Antonia Macri is the daughter of Argentine businessman and former president Mauricio Macri.
-
E.
Sophia Meloni
Sophia Meloni is the daughter of American actor Christopher Meloni, known for his roles in television series such as "Law & Order: Special Victims Unit."
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b1c8764819082fab819e2114156 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c75b09081908a35bc7a9b6a45ce |
completed | May 16, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d8c3ab08190a399dba52e3c99f5 |
completed | May 16, 2026, 3:30 p.m. |
Created at: April 16, 2026, 11:33 a.m.