Triple
T1716336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vixen |
E37297
|
entity |
| Predicate | listedWith |
P31874
|
FINISHED |
| Object | Blitzen |
E37691
|
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: Blitzen | Statement: [Vixen, listedWith, Blitzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blitzen Context triple: [Vixen, listedWith, Blitzen]
-
A.
Blitzen
chosen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
-
C.
Reinsdorf
Reinsdorf is a surname most prominently associated with American sports team owner Jerry Reinsdorf, known for owning the Chicago Bulls and Chicago White Sox.
-
D.
Foege
Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
-
E.
Winterpeg
Winterpeg is a humorous nickname for Winnipeg, Canada, referencing the city's notoriously long, cold, and snowy winters.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada97dfb1c819084e750a8550d3e82 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:30 p.m.