Triple
T1337996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Threatened Swan |
E28397
|
entity |
| Predicate | notableWorkOf |
P4
|
FINISHED |
| Object | Jan Asselijn |
E173350
|
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: Jan Asselijn | Statement: [The Threatened Swan, notableWorkOf, Jan Asselijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Asselijn Context triple: [The Threatened Swan, notableWorkOf, Jan Asselijn]
-
A.
Jan Asselijn
chosen
Jan Asselijn was a 17th-century Dutch Golden Age painter known for his landscapes and animal scenes, including the famous political allegory "The Threatened Swan."
-
B.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
C.
Anna van Egmond
Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
-
D.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
E.
Jan Verkolje
Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3083a3748190b2404ef5edf90fd7 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 7:56 p.m.