Triple
T13682050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | לֵוִי |
E328025
|
entity |
| Predicate | variantForm |
P4680
|
FINISHED |
| Object | Levie |
E75258
|
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: Levie | Statement: [לֵוִי, variantForm, Levie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levie Context triple: [לֵוִי, variantForm, Levie]
-
A.
Levy
chosen
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
-
B.
Lev
Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
-
C.
Lev
Lev is a young, brave former Seraphite who becomes a key companion to Abby in The Last of Us Part II, known for his resilience, archery skills, and struggle against his sect’s rigid beliefs.
-
D.
Levien
Levien is a surname shared by various notable individuals across fields such as literature, film, and business.
-
E.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66e75188190a9e82fdc5eb26513 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944551b481909833cdcff198889c |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.