Triple
T5312071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tailor of Gloucester |
E119053
|
entity |
| Predicate | hasAnimalProtagonists |
P25502
|
FINISHED |
| Object | mice |
—
|
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: mice | Statement: [The Tailor of Gloucester, hasAnimalProtagonists, mice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalProtagonists Context triple: [The Tailor of Gloucester, hasAnimalProtagonists, mice]
-
A.
animalProtagonist
chosen
Indicates that the main character or central figure in a narrative is an animal.
-
B.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
C.
featuresTalkingAnimals
Indicates that the subject includes or depicts animals that can speak or communicate using human language.
-
D.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
E.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.