Triple
T6239675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olive Snook |
E139566
|
entity |
| Predicate | hasPetRelationshipWith |
P42149
|
FINISHED |
| Object | Digby (indirectly, via Ned) |
—
|
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: Digby (indirectly, via Ned) | Statement: [Olive Snook, hasPetRelationshipWith, Digby (indirectly, via Ned)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetRelationshipWith Context triple: [Olive Snook, hasPetRelationshipWith, Digby (indirectly, via Ned)]
-
A.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
B.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
C.
hasPetOwner
chosen
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
-
D.
hasPetInterest
Indicates that one entity has an interest in, affinity for, or concern about pets in relation to another entity or context.
-
E.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.