Triple
T34603397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedlington |
E888526
|
entity |
| Predicate | hasDogBreedNamedAfter |
P41121
|
FINISHED |
| Object | Bedlington Terrier |
—
|
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: Bedlington Terrier | Statement: [Bedlington, hasDogBreedNamedAfter, Bedlington Terrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDogBreedNamedAfter Context triple: [Bedlington, hasDogBreedNamedAfter, Bedlington Terrier]
-
A.
hasRaceNamedAfter
Indicates that an entity has a race or competition that is named in honor of, or after, another entity.
-
B.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
C.
characterNameOfDog
Indicates that the specified name is the character name assigned to a dog.
-
D.
hasNamesakeGenus
Indicates that one entity serves as the namesake for a biological genus named after it.
-
E.
associatedAnimalBreed
chosen
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 2:03 a.m.