Triple
T19941240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dracaenae |
E479311
|
entity |
| Predicate | pluralFormOf |
P5088
|
FINISHED |
| Object | Dracaena |
—
|
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: Dracaena | Statement: [Dracaenae, pluralFormOf, Dracaena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dracaena Context triple: [Dracaenae, pluralFormOf, Dracaena]
-
A.
Dracaena
Dracaena is a genus of mostly tropical, woody plants and shrubs popular as ornamental houseplants for their striking, often variegated foliage and tolerance of low light.
-
B.
Dracaenae
chosen
Dracaenae are serpentine female monsters from Greek mythology, often depicted as part-woman and part-dragon or serpent.
-
C.
Dracena
Dracena is a municipality in the state of São Paulo, Brazil, known for its regional agricultural activities and educational institutions.
-
D.
Schefflera
Schefflera is a genus of tropical and subtropical flowering plants commonly grown as ornamental houseplants for their distinctive, umbrella-like leaf clusters.
-
E.
Dieffenbachia
Dieffenbachia is a popular genus of tropical houseplants known for their large, variegated leaves and toxic sap that can cause irritation if ingested or touched.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6318848190a1dd3e0a6fea3fe2 |
completed | April 20, 2026, 4:54 p.m. |
Created at: April 10, 2026, 1:54 p.m.