Triple
T10030214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wassily |
E204832
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Basil |
E95135
|
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: Basil | Statement: [Wassily, relatedName, Basil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basil Context triple: [Wassily, relatedName, Basil]
-
A.
Basil
chosen
Basil is a masculine given name of Greek origin, commonly associated with historical figures, saints, and notable artists and actors.
-
B.
Dill
Dill is a common English-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
-
C.
Dill
The Dill is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Lahn.
-
D.
Coriandrum sativum
Coriandrum sativum is an aromatic annual herb widely used as a culinary spice and fresh herb (known as coriander or cilantro) in cuisines around the world.
-
E.
Mentha spicata
Mentha spicata is a species of mint commonly known as spearmint, widely used as a culinary herb and flavoring agent for its aromatic, refreshing leaves.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde7ec088190845656cc2529c771 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282351ebc8190b22bf3964823b0ee |
completed | April 5, 2026, 3:39 p.m. |
Created at: March 30, 2026, 8:54 p.m.