Triple
T19639653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Meijer |
E471495
|
entity |
| Predicate | hasNameInNativeLanguage |
P1435
|
FINISHED |
| Object | Lena Meijer |
—
|
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: Lena Meijer | Statement: [Lena Meijer, hasNameInNativeLanguage, Lena Meijer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena Meijer Context triple: [Lena Meijer, hasNameInNativeLanguage, Lena Meijer]
-
A.
Lena Meijer
chosen
Lena Meijer was an American philanthropist and co-founder of the Meijer supermarket chain, known for her extensive charitable contributions to education, health, and the arts, particularly in Michigan.
-
B.
Ria Lubbers
Ria Lubbers is best known as the wife of former Dutch Prime Minister Ruud Lubbers and as a public figure who supported his long political career.
-
C.
Nicole de Boer
Nicole de Boer is a Canadian actress best known for playing Ezri Dax on the television series Star Trek: Deep Space Nine.
-
D.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
E.
Saskia de Jonge
Saskia de Jonge is a Dutch former competitive swimmer who specialized in freestyle events and represented the Netherlands in international competitions, including the Olympic Games.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641215df48190926b38e6502bb83e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.