Triple
T14902553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrika |
E360042
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Riekje |
E1126666
|
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: Riekje | Statement: [Hendrika, hasShortForm, Riekje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riekje Context triple: [Hendrika, hasShortForm, Riekje]
-
A.
Riek
chosen
Riek is a Dutch given name, commonly used as a diminutive or short form of names like Hendrika.
-
B.
Jopie
Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
-
C.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
D.
Sjoukje
Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
-
E.
Pietje
Pietje is a Dutch diminutive form of the given name Piet, often used as an affectionate or informal nickname.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e83418081908280a9ed8ddb9fd7 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:11 a.m.