Triple
T15972574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dovolani |
E387359
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lina Dovolani
Lina Dovolani is the wife of professional ballroom dancer and "Dancing with the Stars" pro Tony Dovolani.
|
E1186410
|
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: Lina Dovolani | Statement: [Tony Dovolani, spouse, Lina Dovolani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lina Dovolani Context triple: [Tony Dovolani, spouse, Lina Dovolani]
-
A.
Marisa Borini
Marisa Borini is an Italian concert pianist and actress, best known as the mother of singer-songwriter and former French First Lady Carla Bruni.
-
B.
Tatiana Lappa
Tatiana Lappa was the first wife of Russian writer Mikhail Bulgakov, known primarily through biographical accounts of his early life and career.
-
C.
Daria Bignardi
Daria Bignardi is an Italian journalist, writer, and television host known for her incisive interview style and prominent role in Italian talk and reality shows.
-
D.
Liana Dognini
Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
-
E.
Daniella Kertesz
Daniella Kertesz is an Israeli actress best known internationally for her role as an Israeli soldier alongside Brad Pitt in the zombie apocalypse film "World War Z."
- 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: Lina Dovolani Triple: [Tony Dovolani, spouse, Lina Dovolani]
Generated description
Lina Dovolani is the wife of professional ballroom dancer and "Dancing with the Stars" pro Tony Dovolani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lina Dovolani Target entity description: Lina Dovolani is the wife of professional ballroom dancer and "Dancing with the Stars" pro Tony Dovolani.
-
A.
Marisa Borini
Marisa Borini is an Italian concert pianist and actress, best known as the mother of singer-songwriter and former French First Lady Carla Bruni.
-
B.
Tatiana Lappa
Tatiana Lappa was the first wife of Russian writer Mikhail Bulgakov, known primarily through biographical accounts of his early life and career.
-
C.
Daria Bignardi
Daria Bignardi is an Italian journalist, writer, and television host known for her incisive interview style and prominent role in Italian talk and reality shows.
-
D.
Liana Dognini
Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
-
E.
Daniella Kertesz
Daniella Kertesz is an Israeli actress best known internationally for her role as an Israeli soldier alongside Brad Pitt in the zombie apocalypse film "World War Z."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8afa288190838cb35b8a4fcf50 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.