Triple
T2834348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finch |
E62313
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jo Willems |
E259922
|
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: Jo Willems | Statement: [Finch, cinematographyBy, Jo Willems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Willems Context triple: [Finch, cinematographyBy, Jo Willems]
-
A.
Jo Willems
chosen
Jo Willems is a Belgian cinematographer known for his work on feature films, including the horror movie "30 Days of Night," as well as music videos and television projects.
-
B.
Chris de Weijer
Chris de Weijer is a Dutch architect best known as one of the founding partners of the internationally renowned architecture firm Mecanoo.
-
C.
Jason de Vos
Jason de Vos is a retired Canadian professional soccer defender who captained the national team and later became a prominent soccer analyst and administrator.
-
D.
Jos Wienen
Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
-
E.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec18b808190aedae2ed11d53b15 |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8c45c548190ac67b94a845cc730 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 10:01 p.m.