Triple
T4902773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Beukes |
E109840
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Beukes
Beukes is a surname most notably associated with South African writer Lauren Beukes, known for her speculative and genre-bending fiction.
|
E478717
|
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: Beukes | Statement: [Lauren Beukes, familyName, Beukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beukes Context triple: [Lauren Beukes, familyName, Beukes]
-
A.
Zeerust
Zeerust is a small town in South Africa’s North West Province, known as an agricultural and commercial center close to the Botswana border.
-
B.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
C.
Fataleka
Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
-
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.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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: Beukes Triple: [Lauren Beukes, familyName, Beukes]
Generated description
Beukes is a surname most notably associated with South African writer Lauren Beukes, known for her speculative and genre-bending fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beukes Target entity description: Beukes is a surname most notably associated with South African writer Lauren Beukes, known for her speculative and genre-bending fiction.
-
A.
Zeerust
Zeerust is a small town in South Africa’s North West Province, known as an agricultural and commercial center close to the Botswana border.
-
B.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
C.
Fataleka
Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
-
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.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e4f1fd4819092812504c3529cad |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fd6ce008190ae7897bc58a2e786 |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be70752384819088ce3b6d00dd166a |
completed | March 21, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7126d1648190b3b0aa89891f02df |
completed | March 21, 2026, 10:21 a.m. |
Created at: March 20, 2026, 1:28 p.m.