Triple
T2597112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Kuyper |
E58256
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Pete Kuyper |
E58256
|
NE FINISHED |
How this triple was built (2 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: Pete Kuyper | Statement: [Pete Kuyper, hasNameInEnglish, Pete Kuyper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Kuyper Context triple: [Pete Kuyper, hasNameInEnglish, Pete Kuyper]
-
A.
Pete Kuyper
chosen
Pete Kuyper was an American entrepreneur best known for establishing the window and door manufacturer that became Pella Corporation.
-
B.
Ben Louw
Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
-
C.
Fred J. Koenekamp
Fred J. Koenekamp was an American cinematographer renowned for his work on major films of the 1970s and 1980s, earning an Academy Award and multiple nominations for his visually striking photography.
-
D.
Herman Louw
Herman Louw is an individual notable enough to be recognized as a prominent bearer of the surname Louw.
-
E.
Martin Louw
Martin Louw is a person bearing the surname Louw, which is associated with several notable individuals, though specific widely recognized achievements for this particular bearer are not clearly documented.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf429ca8819091ed4737653f6023 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:49 p.m.