Triple
T20158914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeeb |
E491650
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Zeév |
—
|
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: Zeév | Statement: [Zeeb, hasVariantSpelling, Zeév]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeév Context triple: [Zeeb, hasVariantSpelling, Zeév]
-
A.
Zev
Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
-
B.
Zinovy
Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Zachi
Zachi is a character in Montesquieu's epistolary novel "Persian Letters," which satirically explores French society and culture through the correspondence of Persian travelers.
-
D.
Ze'ev
chosen
Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
-
E.
Zalman
Zalman is a masculine given name of Hebrew origin, commonly used in Jewish communities and often associated with religious and cultural figures.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.