Triple
T20673344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18th Academy Awards |
E508088
|
entity |
| Predicate | bestSupportingActorWinner |
P8117
|
FINISHED |
| Object | James Dunn |
—
|
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: James Dunn | Statement: [18th Academy Awards, bestSupportingActorWinner, James Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Dunn Context triple: [18th Academy Awards, bestSupportingActorWinner, James Dunn]
-
A.
James Dunn
chosen
James Dunn was an American film and television actor best known for his Academy Award–winning supporting role in the 1945 drama "A Tree Grows in Brooklyn."
-
B.
James Dunn
James Dunn is the protagonist of the film "Most Wanted," around whom the story’s central conflict and action revolve.
-
C.
Arthur Dunn
Arthur Dunn was an English educator and former footballer best known for establishing the prestigious preparatory institution Ludgrove School.
-
D.
Philip Dunn
Philip Dunn is a relatively obscure individual whose specific public notability is not clearly established from the available information.
-
E.
William Cunningham
William Cunningham is a name shared by several notable individuals, including figures in fields such as economics, theology, and the arts.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cca8808190a60ee28c7ea46412 |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.