Triple
T18624408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wivina Demeester |
E455241
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wivina Demeester |
—
|
NE NERFINISHED |
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: Wivina Demeester | Statement: [Wivina Demeester, name, Wivina Demeester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wivina Demeester Context triple: [Wivina Demeester, name, Wivina Demeester]
-
A.
Wivina Demeester
chosen
Wivina Demeester is a Belgian politician known for her long-standing role in Flemish and national politics, particularly in public finance and infrastructure.
-
B.
Emily Damstra
Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
-
C.
Thea Van Seijen
Thea Van Seijen is a Dutch singer best known for her vocal work on several of trip-hop artist Tricky’s albums.
-
D.
Antoinette Beumer
Antoinette Beumer is a Dutch film director and screenwriter known for directing popular Dutch-language films and television productions.
-
E.
Jacqueline deWit
Jacqueline deWit was an American character actress known for her numerous supporting roles in mid-20th-century film and television, including appearances on classic anthology series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f039b408190b51fe770a4c530ec |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.