Triple

T12712841
Position Surface form Disambiguated ID Type / Status
Subject Ben-Zvi E303763 entity
Predicate etymologyComponent P506 FINISHED
Object Zvi (a given name meaning deer)
Zvi is a Hebrew masculine given name meaning "deer," commonly used in Jewish communities and often appearing as a component in surnames and compound names.
 E996912 NE FINISHED

How this triple was built (4 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: Zvi (a given name meaning deer) | Statement: [Ben-Zvi, etymologyComponent, Zvi (a given name meaning deer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zvi (a given name meaning deer)
Context triple: [Ben-Zvi, etymologyComponent, Zvi (a given name meaning deer)]
  • A. Zerach
    Zerach is a masculine given name of Hebrew origin, borne by several notable Jewish figures including rabbis, politicians, and scholars.
  • B. 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.
  • C. Zev
    Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
  • D. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • E. Zinovy
    Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zvi (a given name meaning deer)
Triple: [Ben-Zvi, etymologyComponent, Zvi (a given name meaning deer)]
Generated description
Zvi is a Hebrew masculine given name meaning "deer," commonly used in Jewish communities and often appearing as a component in surnames and compound names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zvi (a given name meaning deer)
Target entity description: Zvi is a Hebrew masculine given name meaning "deer," commonly used in Jewish communities and often appearing as a component in surnames and compound names.
  • A. Zerach
    Zerach is a masculine given name of Hebrew origin, borne by several notable Jewish figures including rabbis, politicians, and scholars.
  • B. 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.
  • C. Zev
    Zev is a masculine given name of Hebrew origin, commonly interpreted to mean "wolf."
  • D. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • E. Zinovy
    Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96208fa6481909d6fd43654752a2d completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672ac07908190bd2dfe90d55a13c1 completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67360b530819085d5db2aa0b7513d completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:23 p.m.