Triple
T22489115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BDD |
E555967
|
entity |
| Predicate | oftenImplementedWith |
P3697
|
FINISHED |
| Object | Cucumber |
—
|
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: Cucumber | Statement: [BDD, oftenImplementedWith, Cucumber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cucumber Context triple: [BDD, oftenImplementedWith, Cucumber]
-
A.
Cucumber
Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
-
B.
Cucumber
chosen
Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
-
C.
Pea
"Pea" is an acoustic, introspective song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*, noted for its minimalist arrangement and vulnerable lyrics.
-
D.
Aubergine
Aubergine is a poignant stage play by Julia Cho that explores family, grief, and cultural identity through the lens of food and memory.
-
E.
Asparagus
Asparagus is a genus of perennial flowering plants best known for the edible vegetable asparagus spears commonly used in cuisines worldwide.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.