Triple
T18299414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gifford Trusts |
E438314
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Adam Gifford |
—
|
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 Gifford | Statement: [Gifford Trusts, namedAfter, Adam Gifford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Gifford Context triple: [Gifford Trusts, namedAfter, Adam Gifford]
-
A.
Adam Gifford
chosen
Adam Gifford was a Scottish judge and philanthropist best known for endowing the prestigious Gifford Lectures on natural theology at several Scottish universities.
-
B.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
C.
Andrew Hynes
Andrew Hynes was an American military officer and early Kentucky pioneer known for his role in the region’s frontier development.
-
D.
Jason Gesser
Jason Gesser is a former American football quarterback best known for his standout college career at Washington State University and subsequent roles as a coach and sports analyst.
-
E.
Garret Nagle
Garret Nagle is an Irish environmentalist and academic known for his work in geography and sustainable development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017e88cc8190a969eb628ca1b496 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.