Triple
T8839255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifshitz |
E210345
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lifschitz |
E210345
|
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: Lifschitz | Statement: [Lifshitz, hasVariant, Lifschitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lifschitz Context triple: [Lifshitz, hasVariant, Lifschitz]
-
A.
Lifshitz
chosen
Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
-
B.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
C.
Ginzburg
Ginzburg is a Russian surname most notably associated with Nobel Prize–winning physicist Vitaly Ginzburg and several other prominent figures in science, literature, and the arts.
-
D.
Lvovich
Lvovich is a Russian patronymic derived from the male given name Lev, indicating "son of Lev."
-
E.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60849f8c8190b7735defecf55a5d |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89933e8c81909672bcec70f7d5ce |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.