Triple
T30269180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog (2022 film) |
E769737
|
entity |
| Predicate | dogCharacterBreed |
P41121
|
FINISHED |
| Object | Belgian Malinois |
—
|
NE NERFINISHED |
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: Belgian Malinois | Statement: [Dog (2022 film), dogCharacterBreed, Belgian Malinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dogCharacterBreed Context triple: [Dog (2022 film), dogCharacterBreed, Belgian Malinois]
-
A.
dogCharacter
Indicates that an entity has the personality traits, behavior, or role characteristic of a dog.
-
B.
associatedAnimalBreed
chosen
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
-
C.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
-
D.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
-
E.
characterNameOfDog
Indicates that the specified name is the character name assigned to a dog.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680d27d288190b66d52f002726551 |
completed | May 2, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:43 p.m.