Triple
T22936950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sander Levin |
E569610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Levin |
—
|
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: Levin | Statement: [Sander Levin, familyName, Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levin Context triple: [Sander Levin, familyName, Levin]
-
A.
Levin
chosen
Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
-
B.
Levin
Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
-
C.
Levin
Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
-
D.
Livshits
Livshits is a Jewish-origin surname borne by various notable individuals, including figures in literature, academia, and public life.
-
E.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813608e48190922df7a5386dc391 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.