Triple
T20255639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Winspear |
E498691
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Marta Dusseldorp |
—
|
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: Marta Dusseldorp | Statement: [Ben Winspear, partner, Marta Dusseldorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marta Dusseldorp Context triple: [Ben Winspear, partner, Marta Dusseldorp]
-
A.
Marta Dusseldorp
chosen
Marta Dusseldorp is an Australian actress best known for her leading roles in television dramas such as "A Place to Call Home" and "Janet King."
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
Linda de Mol
Linda de Mol is a Dutch television presenter and actress known for hosting popular game shows and dramas in the Netherlands and Germany.
-
D.
Emmy van Leersum
Emmy van Leersum was a pioneering Dutch jewelry designer and sculptor known for her innovative, minimalist metal and wearable art pieces that helped redefine contemporary jewelry in the 1960s and 1970s.
-
E.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.