Triple
T2556672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janus Friis |
E56743
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Joost |
E277031
|
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: Joost | Statement: [Janus Friis, employer, Joost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joost Context triple: [Janus Friis, employer, Joost]
-
A.
Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
-
B.
Joost
chosen
Joost was an online video distribution service and Internet TV platform co-created by Skype and Kazaa co-founder Niklas Zennström.
-
C.
Jo Willems
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.
-
D.
Jos Wienen
Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
-
E.
Adam Pijnacker
Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd310b3a48190b275be13eb050e57 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906f488481909e5e45d8405022b5 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:48 p.m.