Triple
T21816285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Smile |
E538612
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Camellia |
—
|
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: Camellia | Statement: [Sara Smile, precededBySingle, Camellia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camellia Context triple: [Sara Smile, precededBySingle, Camellia]
-
A.
Camellia
chosen
Camellia is a genus of evergreen flowering shrubs and trees known for their showy, rose-like blooms and glossy leaves, widely cultivated as ornamental plants.
-
B.
Camellia
Camellia is a modern symmetric-key block cipher standardized by international bodies and widely used for secure data encryption in various applications.
-
C.
Camelia
Camelia is a feminine given name used in various cultures, often associated with elegance and the camellia flower.
-
D.
Osmanthus
Osmanthus is a genus of fragrant flowering shrubs and small trees, often cultivated for their sweetly scented blossoms used in gardens, teas, and perfumes.
-
E.
Matsudaira
Matsudaira is a prominent Japanese samurai and aristocratic clan historically associated with the Tokugawa shogunate and various feudal domains.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07ccac9f08190b835ee7a40ecf4c2 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.