Triple
T20368328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimitar |
E496975
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Dimitri |
E243753
|
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: Dimitri | Statement: [Dimitar, relatedName, Dimitri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimitri Context triple: [Dimitar, relatedName, Dimitri]
-
A.
Dimitri
chosen
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
B.
Dimitri Basil
Dimitri Basil is a film and music video director known for his visually inventive, narrative-driven work for contemporary artists.
-
C.
Vadim
Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
D.
Grigory
Grigory is a masculine given name of Russian origin, historically borne by notable figures such as statesman and nobleman Grigory Orlov.
-
E.
Anatoly
Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678734b188190bb2c5863023f9f8c |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bafeede88190be35cac9cce47e21 |
completed | May 16, 2026, 6:44 p.m. |
Created at: April 16, 2026, 11:26 a.m.