Triple
T22923182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Kurti |
E569218
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gina Kurti
Gina Kurti was the wife of Hungarian-born physicist and molecular gastronomy pioneer Nicholas Kurti.
|
E1562086
|
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: Gina Kurti | Statement: [Nicholas Kurti, spouse, Gina Kurti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Kurti Context triple: [Nicholas Kurti, spouse, Gina Kurti]
-
A.
Pamela Habibović
Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
-
B.
Angela Batinovich
Angela Batinovich is an American sports executive best known for becoming one of the youngest owners of a professional lacrosse team, the Portland LumberJax of the National Lacrosse League.
-
C.
Paula Pokrifki
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
-
D.
Dimitra Priebus
Dimitra Priebus is the mother of American attorney and former White House Chief of Staff Reince Priebus.
-
E.
Carmen Pavlovic
Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
- 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: Gina Kurti Triple: [Nicholas Kurti, spouse, Gina Kurti]
Generated description
Gina Kurti was the wife of Hungarian-born physicist and molecular gastronomy pioneer Nicholas Kurti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gina Kurti Target entity description: Gina Kurti was the wife of Hungarian-born physicist and molecular gastronomy pioneer Nicholas Kurti.
-
A.
Pamela Habibović
Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
-
B.
Angela Batinovich
Angela Batinovich is an American sports executive best known for becoming one of the youngest owners of a professional lacrosse team, the Portland LumberJax of the National Lacrosse League.
-
C.
Paula Pokrifki
Paula Pokrifki is the determined, working-class love interest of Zack Mayo in the romantic drama film "An Officer and a Gentleman."
-
D.
Dimitra Priebus
Dimitra Priebus is the mother of American attorney and former White House Chief of Staff Reince Priebus.
-
E.
Carmen Pavlovic
Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d6841c81908df6d4e501860a15 |
completed | April 29, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc247a9f8819099f0f79e6f1807d1 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc35c3ea08190a3b9111297774e6c |
completed | May 19, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc43eafe081909dfff8b40d624635 |
completed | May 19, 2026, 2 a.m. |
Created at: April 17, 2026, 3:43 p.m.