Triple
T11667374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dust |
E277284
|
entity |
| Predicate | filmDirector |
P255
|
FINISHED |
| Object | Joseph Kane |
E304259
|
NE FINISHED |
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: Joseph Kane | Statement: [Dust, filmDirector, Joseph Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Kane Context triple: [Dust, filmDirector, Joseph Kane]
-
A.
Joseph Kane
chosen
Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
-
B.
Michael Kanin
Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
-
C.
James Kean
James Kean is a person notable enough to be recognized as a bearer of the surname Kean, though specific widely known achievements or roles are not clearly established.
-
D.
Roy McFarland
Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
-
E.
Lee Tourneau
Lee Tourneau is a fictional character from the film "Horns," known for his involvement in the dark, supernatural events surrounding the protagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82e252fc819082b5c8a33fcf861a |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:39 p.m.