Triple
T9729151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Dennison |
E235692
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Belsnickel |
E273349
|
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: Belsnickel | Statement: [Julian Dennison, portrayed, Belsnickel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belsnickel Context triple: [Julian Dennison, portrayed, Belsnickel]
-
A.
Knecht Ruprecht
chosen
Knecht Ruprecht is a traditional German folkloric figure who accompanies Saint Nicholas and is often depicted as a stern, punishing counterpart to reward-and-punishment Christmas customs.
-
B.
St. Niklaus
St. Niklaus is a locality within the Swiss municipality of Feldbrunnen-St. Niklaus in the canton of Solothurn.
-
C.
San Nicolaas
San Nicolaas is the second-largest city in Aruba, known for its oil refinery history, multicultural community, and vibrant street art scene.
-
D.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
E.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb5f5bc8190ae53bc5c165b5ac7 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.