Triple
T13441981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacek |
E320384
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hyacinth |
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 | Statement: [Jacek, hasVariant, Hyacinth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyacinth Context triple: [Jacek, hasVariant, Hyacinth]
-
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.
Ixia
Ixia is a genus of flowering plants native to South Africa, known for their colorful, star-shaped blooms often grown as ornamental garden and cut flowers.
-
C.
Lysianka
Lysianka is an urban-type settlement in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
D.
Pansy
Pansy is a small unincorporated community located in Crosby County in the U.S. state of Texas.
-
E.
Primrose
Primrose is a small rural town located in Dane County, Wisconsin, known for its agricultural landscape and quiet countryside character.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399421908190a7750e37c89a73f6 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.