Triple
T8692981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard "Del" Delacroix |
E206335
|
entity |
| Predicate | relationshipWithAnimal |
P51902
|
FINISHED |
| Object | caretaker of Mr. Jingles |
—
|
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: caretaker of Mr. Jingles | Statement: [Eduard "Del" Delacroix, relationshipWithAnimal, caretaker of Mr. Jingles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithAnimal Context triple: [Eduard "Del" Delacroix, relationshipWithAnimal, caretaker of Mr. Jingles]
-
A.
associatedWithAnimal
chosen
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
-
C.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
D.
regardsDogsAs
Indicates that one entity holds a particular attitude, view, or treatment toward dogs.
-
E.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5826bbb48190a212fb1bb06e05e6 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.