Triple
T38641291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Hemp |
E938599
|
entity |
| Predicate | wasBredBy |
P191472
|
FINISHED |
| Object | Adam Telfer |
—
|
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: Adam Telfer | Statement: [Old Hemp, wasBredBy, Adam Telfer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBredBy Context triple: [Old Hemp, wasBredBy, Adam Telfer]
-
A.
wasBredIn
Indicates that an organism or animal was raised or produced through breeding in a particular place or environment.
-
B.
breedsFrom
Indicates that one organism or entity is produced, derived, or propagated from another through breeding or reproductive processes.
-
C.
bredWith
Indicates that one entity has been used to reproduce or mate with another entity, typically for the purpose of producing offspring.
-
D.
wasBredFor
Indicates that one entity was selectively bred or developed for a particular purpose, function, or use associated with another entity.
-
E.
madeFromBreed
Indicates that something is produced or derived using a particular breed as its source or primary constituent.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:32 p.m.