Triple
T17621247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilithyia |
E429713
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Viva Bianca
Viva Bianca is an Australian actress best known for her role as Ilithyia in the television series "Spartacus."
|
E1279481
|
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: Viva Bianca | Statement: [Ilithyia, portrayedBy, Viva Bianca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Bianca Context triple: [Ilithyia, portrayedBy, Viva Bianca]
-
A.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
B.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
-
C.
Miss Bianca
Miss Bianca is a sophisticated and brave white mouse who serves as one of the heroic rescuers in Disney’s animated adventure "The Rescuers."
-
D.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
-
E.
La Nena
"La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
- 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: Viva Bianca Triple: [Ilithyia, portrayedBy, Viva Bianca]
Generated description
Viva Bianca is an Australian actress best known for her role as Ilithyia in the television series "Spartacus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viva Bianca Target entity description: Viva Bianca is an Australian actress best known for her role as Ilithyia in the television series "Spartacus."
-
A.
Viva
Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
-
B.
Viva
Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
-
C.
Miss Bianca
Miss Bianca is a sophisticated and brave white mouse who serves as one of the heroic rescuers in Disney’s animated adventure "The Rescuers."
-
D.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
-
E.
La Nena
"La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d36074481909ee79e238841edf2 |
completed | April 19, 2026, 5:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a9553f08190a4cd8fea76f016df |
completed | May 11, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_6a020bec249c81909148778f348fb1b4 |
completed | May 11, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020ce0cc0081909e9e90b9067e3f01 |
completed | May 11, 2026, 5:07 p.m. |
Created at: April 10, 2026, 5:51 a.m.