Triple
T20121605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izabella Scorupco |
E490621
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scorupco
Scorupco is the surname of Izabella Scorupco, a Polish-Swedish actress and model best known for her role as Bond girl Natalya Simonova in the film "GoldenEye."
|
E1413302
|
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: Scorupco | Statement: [Izabella Scorupco, familyName, Scorupco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scorupco Context triple: [Izabella Scorupco, familyName, Scorupco]
-
A.
Skorpo
Skorpo is an island located in the municipality of Kvinnherad in Vestland county, Norway, known for its scenic fjord landscape and rural character.
-
B.
Skorpo
Skorpo is an island located within Tysnes Municipality in Vestland county, Norway, known for its coastal landscape and rural setting.
-
C.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
D.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
E.
Vargo
Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
- 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: Scorupco Triple: [Izabella Scorupco, familyName, Scorupco]
Generated description
Scorupco is the surname of Izabella Scorupco, a Polish-Swedish actress and model best known for her role as Bond girl Natalya Simonova in the film "GoldenEye."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scorupco Target entity description: Scorupco is the surname of Izabella Scorupco, a Polish-Swedish actress and model best known for her role as Bond girl Natalya Simonova in the film "GoldenEye."
-
A.
Skorpo
Skorpo is an island located in the municipality of Kvinnherad in Vestland county, Norway, known for its scenic fjord landscape and rural character.
-
B.
Skorpo
Skorpo is an island located within Tysnes Municipality in Vestland county, Norway, known for its coastal landscape and rural setting.
-
C.
Scarpelli
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
D.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
E.
Vargo
Vargo is a surname most notably associated with Ed Vargo, an American Major League Baseball umpire.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673e79dc81908fbd387c067fce79 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dd54c58819094d85cb8f110aece |
completed | May 16, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_6a082e57f8208190a5a6272288394323 |
completed | May 16, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08302457f8819091fbd2588c695f97 |
completed | May 16, 2026, 8:51 a.m. |
Created at: April 11, 2026, 11:30 p.m.