Triple
T29758135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World of James Herriot |
E753086
|
entity |
| Predicate | occupiesFormerVeterinarySurgeryOf |
P170176
|
FINISHED |
| Object | Alf Wight |
—
|
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: Alf Wight | Statement: [The World of James Herriot, occupiesFormerVeterinarySurgeryOf, Alf Wight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesFormerVeterinarySurgeryOf Context triple: [The World of James Herriot, occupiesFormerVeterinarySurgeryOf, Alf Wight]
-
A.
examinedIn
Indicates that one entity is analyzed, inspected, or studied within the context, scope, or setting provided by another entity.
-
B.
clinicalSignInLivestock
Indicates that a particular clinical sign is observed or present in livestock.
-
C.
veterinaryRelevance
Indicates that something has significance, applicability, or importance within veterinary medicine or animal healthcare contexts.
-
D.
usedAnimal
Indicates that one entity employed or exploited an animal for a particular purpose or activity.
-
E.
operatedOn
Indicates that one entity has performed a surgical or procedural operation on another entity.
- F. None of above. chosen
Provenance (4 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 28, 2026, 7:57 p.m.