Triple
T22661973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clavicipitaceae |
E559686
|
entity |
| Predicate | notableSpecies |
P965
|
FINISHED |
| Object | Epichloë festucae |
—
|
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: Epichloë festucae | Statement: [Clavicipitaceae, notableSpecies, Epichloë festucae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epichloë festucae Context triple: [Clavicipitaceae, notableSpecies, Epichloë festucae]
-
A.
Epichloë
chosen
Epichloë is a genus of fungi known for forming symbiotic and often protective endophytic associations with grasses.
-
B.
Tilletia
Tilletia is a genus of plant-pathogenic fungi known for causing smut diseases in cereal crops, particularly bunt in wheat.
-
C.
Claviceps purpurea
Claviceps purpurea is a parasitic fungus best known for infecting cereal grains like rye and producing toxic ergot alkaloids that can cause ergotism in humans and animals.
-
D.
Fusarium
Fusarium is a large genus of filamentous fungi widely known as plant pathogens that cause diseases in crops and can produce harmful mycotoxins.
-
E.
Sclerospora
Sclerospora is a genus of oomycete plant pathogens best known for causing downy mildew diseases in grasses and cereal crops.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765fe7d081908087778c54c1e612 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.