Triple
T5074228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ze'ev |
E114352
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Zeév |
E446955
|
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: Zeév | Statement: [Ze'ev, hasVariantTransliteration, Zeév]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeév Context triple: [Ze'ev, hasVariantTransliteration, Zeév]
-
A.
Zev
chosen
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
Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
-
E.
Zedka
Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb11b3f3c819089f09178f17940c5 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.