Triple
T14356327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ineke Hans |
E355978
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ineke Hans |
E355978
|
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: Ineke Hans | Statement: [Ineke Hans, name, Ineke Hans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ineke Hans Context triple: [Ineke Hans, name, Ineke Hans]
-
A.
Ineke Hans
chosen
Ineke Hans is a Dutch industrial designer known for her innovative furniture and product designs that blend functionality with playful, conceptual aesthetics.
-
B.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
-
C.
Gui Bonsiepe
Gui Bonsiepe is a German designer, design theorist, and educator known for his influential work in interface and information design and his contributions to design education, particularly in Latin America.
-
D.
Hans
Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
-
E.
Heike Makatsch
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c473fa48190866ab946971e971c |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:15 a.m.