Triple
T12625656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lopukhina |
E301505
|
entity |
| Predicate | hasMaleForm |
P15475
|
FINISHED |
| Object | Lopukhin |
E993244
|
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: Lopukhin | Statement: [Lopukhina, hasMaleForm, Lopukhin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopukhin Context triple: [Lopukhina, hasMaleForm, Lopukhin]
-
A.
Lopukhin
chosen
Lopukhin is a Russian surname historically associated with a noble family of the Russian Empire.
-
B.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
C.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
D.
Arseny
Arseny is a masculine given name of Russian origin, historically borne by several notable figures in literature, art, and public life.
-
E.
Pugachyov
Pugachyov is a small town in southwestern Russia known for its location on the Bolshoy Irgiz River within Saratov Oblast.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610a897c8190a96f3c78d4b270a2 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719676d48190bcc9d7ccbde2605e |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:14 p.m.