Triple
T8388592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasher |
E197882
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Santa's sleigh team |
E195057
|
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's sleigh team | Statement: [Dasher, memberOf, Santa's sleigh team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa's sleigh team Context triple: [Dasher, memberOf, Santa's sleigh team]
-
A.
Santa Claus's reindeer team
chosen
Santa Claus's reindeer team is the legendary group of flying reindeer that pull Santa's sleigh on Christmas Eve, helping him deliver gifts around the world.
-
B.
Santa Claus's sleigh
Santa Claus's sleigh is the magical, gift-laden vehicle he rides through the sky on Christmas Eve to deliver presents to children around the world.
-
C.
Blitzen the reindeer
Blitzen the reindeer is one of Santa Claus’s legendary flying reindeer, traditionally depicted as helping pull Santa’s sleigh on Christmas Eve.
-
D.
Santa's elves
Santa's elves are the small, magical helpers of Santa Claus who live at the North Pole and make toys for children for Christmas.
-
E.
Dasher
Dasher is the nickname of Frank "Dasher" Abbandando, a notorious New York mob hitman associated with Murder, Inc. in the mid-20th century.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb81090f688190a3a8d1680383c361 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde83aac448190b74f65507170a8f7 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.