Triple
T16497314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronisław Kaper |
E400717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kaper |
E924809
|
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: Kaper | Statement: [Bronisław Kaper, familyName, Kaper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaper Context triple: [Bronisław Kaper, familyName, Kaper]
-
A.
Kaper
chosen
Kaper is the surname of Bronislau Kaper, a Polish-born composer best known for his film scores in Hollywood.
-
B.
Guncati
Guncati is a village located within the municipality of Barajevo in the city of Belgrade, Serbia.
-
C.
Jahaz
Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
-
D.
Taganga
Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
-
E.
Vacalis
Vacalis is an old historical name for the River Waal, a major distributary of the Rhine in the Netherlands.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.