Triple

T3131244
Position Surface form Disambiguated ID Type / Status
Subject Moshe Dayan E65417 entity
Predicate givenName P17 FINISHED
Object Moshe
Moshe is a common Hebrew given name, notably borne by Israeli military leader and politician Moshe Dayan.
 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 Dayan, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moshe
Context triple: [Moshe Dayan, 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 Dayan, givenName, Moshe]
Generated description
Moshe is a common Hebrew given name, notably borne by Israeli military leader and politician Moshe Dayan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moshe
Target entity description: Moshe is a common Hebrew given name, notably borne by Israeli military leader and politician Moshe Dayan.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2135fced48190ab6010e46a1343fd completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b213badfec8190a31dab2b57eb0d7f completed March 12, 2026, 1:15 a.m.
Created at: March 8, 2026, 3:04 p.m.