Triple
T11480314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scooby-Doo |
E272125
|
entity |
| Predicate | breed |
P14611
|
FINISHED |
| Object | Great Dane |
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: Great Dane | Statement: [Scooby-Doo, breed, Great Dane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Dane Context triple: [Scooby-Doo, breed, Great Dane]
-
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.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
C.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
D.
Letheringsett
Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
-
E.
Dobermann
Dobermann is a 1997 French action-crime film known for its hyper-stylized violence and anarchic portrayal of a gang of ruthless bank robbers.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60434966c81909a277b6a0fd9f358 |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:36 p.m.