Triple
T8330312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Claus's reindeer team |
E195057
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | the red-nosed reindeer Rudolph |
E38319
|
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: the red-nosed reindeer Rudolph | Statement: [Santa Claus's reindeer team, hasMember, the red-nosed reindeer Rudolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the red-nosed reindeer Rudolph Context triple: [Santa Claus's reindeer team, hasMember, the red-nosed reindeer Rudolph]
-
A.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
B.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
C.
Rudolph
chosen
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
D.
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.
-
E.
Rhubarb the Reindeer
Rhubarb the Reindeer is the costumed reindeer mascot of the Tacoma Rainiers minor league baseball team, known for entertaining fans at games and community events.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb995508190b2ca94ad45bf6d24 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc70723a48190a3e33908fc84fe59 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:56 p.m.