Triple
T23562083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Nathan Berry |
E579268
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | John Grim |
—
|
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: John Grim | Statement: [William Nathan Berry, influenced, John Grim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Grim Context triple: [William Nathan Berry, influenced, John Grim]
-
A.
John Grim
chosen
John Grim is a scholar of religion and ecology known for his work on Indigenous traditions and his collaboration with Thomas Berry in developing the field of religious environmentalism.
-
B.
Charles Magnusson
Charles Magnusson was a pioneering Swedish film producer and studio executive who played a key role in the early development of Scandinavian cinema.
-
C.
Wigald Boning
Wigald Boning is a German comedian, actor, and television presenter known for his work in sketch comedy, film, and various entertainment shows.
-
D.
Runar Eliassen
Runar Eliassen is a person notable enough to be recognized as a distinguished bearer of the Eliassen surname.
-
E.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:23 p.m.