Triple
T6827207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tin Drum |
E157045
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Dog Years |
E157047
|
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: Dog Years | Statement: [The Tin Drum, followedBy, Dog Years]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dog Years Context triple: [The Tin Drum, followedBy, Dog Years]
-
A.
Dog Years
chosen
Dog Years is a 1963 novel by German author Günter Grass that forms part of his Danzig Trilogy, exploring Germany’s Nazi past through dark satire and multi-perspective storytelling.
-
B.
Dog Love
"Dog Love" is a track from the album *Year of the Dog... Again* by British rapper and producer DMX.
-
C.
Cats and Dogs
"Cats and Dogs" is a 1993 noise rock album by the American band Royal Trux, known for its lo-fi production and experimental, genre-blurring sound.
-
D.
Cats & Dogs
Cats & Dogs is a 2001 family action-comedy film that humorously depicts a secret high-tech war between rival cat and dog factions.
-
E.
Hunde
The Hunde are a Bantu-speaking ethnic group primarily inhabiting the Kivu region of the eastern Democratic Republic of the Congo.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58583a4819099edbf753c7c7087 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f49bdc8190af39b34dbaf3f0c9 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.