Triple
T10334242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyacinth |
E242957
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | hyacinth (plant) |
E242957
|
NE FINISHED |
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: hyacinth (plant) | Statement: [Hyacinth, relatedTo, hyacinth (plant)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: hyacinth (plant) Context triple: [Hyacinth, relatedTo, hyacinth (plant)]
-
A.
Hyacinth
chosen
Hyacinth is a given name of Greek origin, historically associated with mythological and floral imagery and used for people of any gender.
-
B.
Muscari
Muscari is a genus of small, bulbous flowering plants commonly known as grape hyacinths, valued for their dense clusters of blue, purple, or white spring blooms.
-
C.
Hippeastrum
Hippeastrum is a genus of bulbous flowering plants known for their large, showy, trumpet-shaped blooms, commonly grown indoors as ornamental “amaryllis” during winter.
-
D.
Tulipa
Tulipa is a genus of bulbous flowering plants best known for its colorful tulip blooms, widely cultivated as ornamental garden and cut flowers.
-
E.
Amaryllis
"Amaryllis" is a notable poem by American poet Edwin Arlington Robinson, recognized for its reflective, character-driven exploration of human emotion and experience.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:53 a.m.