Triple

T5444198
Position Surface form Disambiguated ID Type / Status
Subject Moshe Cordovero E122207 entity
Predicate givenName P17 FINISHED
Object Moshe
Moshe is a Hebrew given name commonly used in Jewish communities, equivalent to the biblical name Moses.
 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 Cordovero, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moshe
Context triple: [Moshe Cordovero, 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. Mūsa
    Mūsa is a river in Latvia that serves as one of the main tributaries forming the larger Lielupe River.
  • D. Aharon
    Aharon is a masculine given name of Hebrew origin, traditionally associated with the biblical figure Aaron and widely used in Jewish communities.
  • E. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • 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 Cordovero, givenName, Moshe]
Generated description
Moshe is a Hebrew given name commonly used in Jewish communities, equivalent to the biblical name Moses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moshe
Target entity description: Moshe is a Hebrew given name commonly used in Jewish communities, equivalent to the biblical name Moses.
  • 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. Mūsa
    Mūsa is a river in Latvia that serves as one of the main tributaries forming the larger Lielupe River.
  • D. Aharon
    Aharon is a masculine given name of Hebrew origin, traditionally associated with the biblical figure Aaron and widely used in Jewish communities.
  • E. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4132bcf08190af2ca506a40fb26e completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4207393c819089b4fc6691a2d076 completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf427e2bd08190b7664922d26e16d2 completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 2:07 p.m.