Triple
T3385076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dane |
E71280
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Deutsche Dogge |
E71280
|
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: Deutsche Dogge | Statement: [Great Dane, alsoKnownAs, Deutsche Dogge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsche Dogge Context triple: [Great Dane, alsoKnownAs, Deutsche Dogge]
-
A.
Great Dane
chosen
The Great Dane is a giant, muscular dog breed known for its impressive height, gentle temperament, and nickname as the "Apollo of dogs."
-
B.
Dutch Shepherd
The Dutch Shepherd is a highly intelligent, versatile herding and working dog breed from the Netherlands, valued today for its strong drive, trainability, and frequent use in police and protection work.
-
C.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
D.
Dogue de Bordeaux
The Dogue de Bordeaux is a powerful, large French mastiff-type dog breed known for its massive head, muscular build, and loyal, protective nature.
-
E.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33455ae2481908e6478cb240b31c1 |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.