Triple
T18189939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirt Farmer |
E435505
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Calvary” |
—
|
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: “Calvary” | Statement: [Dirt Farmer, hasPart, “Calvary”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Calvary” Context triple: [Dirt Farmer, hasPart, “Calvary”]
-
A.
Beyond Calvary
Beyond Calvary is a notable literary work by South African playwright and author Ronnie Govender, reflecting his engagement with social and cultural themes.
-
B.
Calvary
Calvary is a 2014 Irish black comedy-drama film about a good priest facing a death threat from a troubled parishioner, noted for its dark humor and moral complexity.
-
C.
Calvary
Calvary is a small unincorporated community in Grady County, Georgia, known for its rural character and annual Mule Day festival.
-
D.
Calvary
chosen
Calvary is the hill outside Jerusalem traditionally identified as the site where Jesus Christ was crucified.
-
E.
The Road to Calvary
The Road to Calvary is a historical novel trilogy by Russian writer Alexei Tolstoy that follows the lives of two sisters amid the upheavals of World War I, the Russian Revolution, and the Civil War.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0016ec08190ae853dbc89865a41 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.