Triple

T19948541
Position Surface form Disambiguated ID Type / Status
Subject Marcel Dalio E479492 entity
Predicate givenName P17 FINISHED
Object Moshe
Moshe is a given name of Hebrew origin commonly used in Jewish communities, equivalent to Moses in English.
E935515 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: [Marcel Dalio, givenName, Moshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moshe
Context triple: [Marcel Dalio, givenName, Moshe]
  • A. Moshe
    Moshe is the Hebrew given name of the influential 16th-century Polish rabbi and halachic authority known as the Rema of Kraków (Rabbi Moses Isserles).
  • B. 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.
  • C. Moses
    Moses is the birth name of Moe Howard, the American comedian best known as the bowl-cut leader of the slapstick trio The Three Stooges.
  • D. Moses
    Moses is a narrative poem by Ukrainian writer Ivan Franko that reinterprets the biblical story of the prophet Moses as an allegory for the Ukrainian people's struggle and destiny.
  • E. 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.
  • 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: [Marcel Dalio, givenName, Moshe]
Generated description
Moshe is a given name of Hebrew origin commonly used in Jewish communities, equivalent to Moses in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moshe
Target entity description: Moshe is a given name of Hebrew origin commonly used in Jewish communities, equivalent to Moses in English.
  • A. Moshe chosen
    Moshe is the Hebrew given name of the influential 16th-century Polish rabbi and halachic authority known as the Rema of Kraków (Rabbi Moses Isserles).
  • B. 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.
  • C. Moses
    Moses is a narrative poem by Ukrainian writer Ivan Franko that reinterprets the biblical story of the prophet Moses as an allegory for the Ukrainian people's struggle and destiny.
  • D. Moses
    Moses is the birth name of Moe Howard, the American comedian best known as the bowl-cut leader of the slapstick trio The Three Stooges.
  • E. 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.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a69ae388190918e862012f9fe39 completed April 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804f271288190bc64a89690b3b128 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806a685b08190b427f32334873661 completed May 16, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a08075f1a48819082f217db39841fdb completed May 16, 2026, 5:57 a.m.
Created at: April 10, 2026, 1:54 p.m.