Triple
T28710398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph the Red-Nosed Reindeer (1939 booklet) |
E729814
|
entity |
| Predicate | SantaSleighGuidedBy |
P82139
|
FINISHED |
| Object | Rudolph's red nose |
—
|
LITERAL 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: Rudolph's red nose | Statement: [Rudolph the Red-Nosed Reindeer (1939 booklet), SantaSleighGuidedBy, Rudolph's red nose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SantaSleighGuidedBy Context triple: [Rudolph the Red-Nosed Reindeer (1939 booklet), SantaSleighGuidedBy, Rudolph's red nose]
-
A.
leadsSleigh
chosen
Indicates that one entity guides and directs the movement of a sleigh, typically traveling at its front and controlling its course.
-
B.
hasReindeerHerding
Indicates that one entity engages in or possesses the activity, practice, or operation of herding reindeer in relation to another entity.
-
C.
hasNightSledging
Indicates that an entity offers, features, or is associated with sledging activities that take place at night.
-
D.
hasFairyGodparent
Indicates that one entity serves as a fairy godparent to another, providing magical guardianship or assistance.
-
E.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
- F. None of above.
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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f656d733648190a5ca13c73312d7cd |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:47 a.m.