Triple
T18937106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trofim Lysenko |
E463277
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Trofim |
—
|
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: Trofim | Statement: [Trofim Lysenko, givenName, Trofim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trofim Context triple: [Trofim Lysenko, givenName, Trofim]
-
A.
Timofei
chosen
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
-
B.
Tymofiy
Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
-
C.
Zinoviy
Zinoviy is a masculine given name of Slavic origin, commonly used in Russian and Ukrainian contexts.
-
D.
Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
-
E.
Taras
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e8fdb48190ae70cb23c5bc2c97 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.