Triple
T32060942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dug’s Special Mission |
E818744
|
entity |
| Predicate | featuresTalkingDogs |
P57514
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dug’s Special Mission, featuresTalkingDogs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTalkingDogs Context triple: [Dug’s Special Mission, featuresTalkingDogs, true]
-
A.
featuresTalkingAnimals
chosen
Indicates that the subject includes or depicts animals that can speak or communicate using human language.
-
B.
hasCanineTraits
Indicates that an entity possesses characteristics or qualities typically associated with dogs or canines.
-
C.
barkTendency
Indicates a tendency or propensity for an entity to bark, such as how likely or frequently it engages in barking behavior.
-
D.
dogCharacter
Indicates that an entity has the personality traits, behavior, or role characteristic of a dog.
-
E.
notableDog
Indicates that the subject is a dog recognized for its significance, fame, or special distinction.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00b2b425a8819091ff65695e98c3af |
completed | May 10, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a00b06efa248190b2d16b4889185119 |
completed | May 10, 2026, 4:21 p.m. |
Created at: May 1, 2026, 12:21 a.m.