Triple

T2330551
Position Surface form Disambiguated ID Type / Status
Subject Moshe Y. Vardi E48391 entity
Predicate givenName P17 FINISHED
Object Moshe
Moshe is a Hebrew given name, commonly associated with the biblical figure Moses and widely used in Jewish communities.
 E11297 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: Moshe | Statement: [Moshe Y. Vardi, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moshe
Context triple: [Moshe Y. Vardi, givenName, Moshe]
  • A. Mose
    Mose is a minor character in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin," depicted as one of Uncle Tom’s children within the enslaved family central to the story.
  • B. Moses
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • C. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • D. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • E. Yosef
    Yosef is a Hebrew given name of biblical origin, best known from the patriarch Joseph and widely used in Jewish communities.
  • 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: Moshe
Triple: [Moshe Y. Vardi, givenName, Moshe]
Generated description
Moshe is a Hebrew given name, commonly associated with the biblical figure Moses and widely used in Jewish communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moshe
Target entity description: Moshe is a Hebrew given name, commonly associated with the biblical figure Moses and widely used in Jewish communities.
  • A. Mose
    Mose is a minor character in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin," depicted as one of Uncle Tom’s children within the enslaved family central to the story.
  • B. Moses chosen
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • C. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • D. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • E. Yosef
    Yosef is a Hebrew given name of biblical origin, best known from the patriarch Joseph and widely used in Jewish communities.
  • F. None of above.

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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8786d508190aac531a88fc5076f completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea9ca68148190a8773a80c8296a4d completed March 9, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69aeaa32e3f48190ada5aab1b05e5aaa completed March 9, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:50 p.m.