Triple
T10047674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice Swanepoel |
E207658
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Swanepoel
Swanepoel is a South African surname most prominently associated with supermodel Candice Swanepoel.
|
E837708
|
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: Swanepoel | Statement: [Candice Swanepoel, familyName, Swanepoel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanepoel Context triple: [Candice Swanepoel, familyName, Swanepoel]
-
A.
Boshoff
Boshoff is an Afrikaans-origin surname commonly found in South Africa, associated with several notable historical and contemporary figures.
-
B.
Greeff
Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
-
C.
Theunis
Theunis is a given name most notably associated with Marthinus Theunis Steyn, the last president of the independent Orange Free State during the Second Boer War.
-
D.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
E.
Zoutkamp
Zoutkamp is a historic fishing village in the Dutch province of Groningen, known for its former role as a fortified harbor and its traditional maritime character.
- 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: Swanepoel Triple: [Candice Swanepoel, familyName, Swanepoel]
Generated description
Swanepoel is a South African surname most prominently associated with supermodel Candice Swanepoel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swanepoel Target entity description: Swanepoel is a South African surname most prominently associated with supermodel Candice Swanepoel.
-
A.
Boshoff
Boshoff is an Afrikaans-origin surname commonly found in South Africa, associated with several notable historical and contemporary figures.
-
B.
Greeff
Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
-
C.
Theunis
Theunis is a given name most notably associated with Marthinus Theunis Steyn, the last president of the independent Orange Free State during the Second Boer War.
-
D.
De Wit
De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
-
E.
Zoutkamp
Zoutkamp is a historic fishing village in the Dutch province of Groningen, known for its former role as a fortified harbor and its traditional maritime character.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d28391f8fc8190964cdccaf5625617 |
completed | April 5, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d284604dc88190b452ee847d3390dd |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:56 p.m.