Triple
T7217531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Way |
E149572
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Yorick van Wageningen |
E322232
|
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: Yorick van Wageningen | Statement: [The Way, hasCastMember, Yorick van Wageningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorick van Wageningen Context triple: [The Way, hasCastMember, Yorick van Wageningen]
-
A.
Yorick van Wageningen
chosen
Yorick van Wageningen is a Dutch actor known internationally for his roles in films such as the 2011 adaptation of "The Girl with the Dragon Tattoo."
-
B.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
C.
Dirk Roosenburg
Dirk Roosenburg was a prominent Dutch architect known for his early 20th-century modernist designs and as the grandfather of architect Rem Koolhaas.
-
D.
Theo de Meester
Theo de Meester was a Dutch liberal politician who served as Prime Minister of the Netherlands in the early 20th century.
-
E.
Maarten ’t Hart
Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99170d88190b1aef326a7d81134 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbfb46388190992cc98039e71748 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:53 p.m.