Triple
T29758150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World of James Herriot |
E753086
|
entity |
| Predicate | focusesOnWorks |
P109058
|
FINISHED |
| Object | All Creatures Great and Small |
—
|
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: All Creatures Great and Small | Statement: [The World of James Herriot, focusesOnWorks, All Creatures Great and Small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnWorks Context triple: [The World of James Herriot, focusesOnWorks, All Creatures Great and Small]
-
A.
notableWorkFocus
Indicates that a notable work primarily centers on, addresses, or is significantly concerned with a particular subject, theme, or area.
-
B.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
creativeWorkFocus
chosen
Indicates that one entity is the primary subject, theme, or focal point of another entity’s creative work.
-
D.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
E.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 28, 2026, 7:57 p.m.