Triple
T10921639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Obama Ndesandjo |
E257959
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Ruth Nidesand |
E260278
|
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: Ruth Nidesand | Statement: [Mark Obama Ndesandjo, mother, Ruth Nidesand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Nidesand Context triple: [Mark Obama Ndesandjo, mother, Ruth Nidesand]
-
A.
Ruth Nidesand
chosen
Ruth Nidesand is a woman known primarily for her familial connection to Mark Obama Ndesandjo, the American businessman and author who is a half-brother of former U.S. President Barack Obama.
-
B.
Edith Schippers
Edith Schippers is a Dutch politician who served as Minister of Health, Welfare and Sport and is a prominent member of the People's Party for Freedom and Democracy (VVD).
-
C.
Hilda Koopman
Hilda Koopman is a prominent linguist known for her influential work in syntactic theory and generative grammar.
-
D.
Judith van Leeuwen
Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
-
E.
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.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77082a1488190850a4409339c3e1e |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2172894d88190b7b27f78e9fd1521 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.