Triple

T11113232
Position Surface form Disambiguated ID Type / Status
Subject Moshe Katsav E262813 entity
Predicate givenName P17 FINISHED
Object Moshe
Moshe is a common Hebrew given name, notably borne by Moshe Katsav, the eighth President of Israel.
 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 Katsav, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moshe
Context triple: [Moshe Katsav, 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 Katsav, givenName, Moshe]
Generated description
Moshe is a common Hebrew given name, notably borne by Moshe Katsav, the eighth President of Israel.
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 Moshe Katsav, the eighth President of Israel.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa523588190a25d241ccc6a9679 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d78c71c81908671a93ac5196c0a completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.