Triple
T2732399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elf |
E60344
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Santa Claus |
E5879
|
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: Santa Claus | Statement: [Elf, character, Santa Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Claus Context triple: [Elf, character, Santa Claus]
-
A.
Santa Claus
chosen
Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
-
B.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
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.
Knecht Ruprecht
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.
-
E.
Mrs. Claus
Mrs. Claus is the kindly, maternal figure of Christmas folklore who lives at the North Pole with Santa, often depicted baking cookies, caring for elves, and helping manage holiday preparations.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf011548190beb9c3feee7b743f |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.