Triple

T19942035
Position Surface form Disambiguated ID Type / Status
Subject Leviticus 17 E479328 entity
Predicate associatedWithFigure P1183 FINISHED
Object 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.
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: Moses | Statement: [Leviticus 17, associatedWithFigure, Moses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses
Context triple: [Leviticus 17, associatedWithFigure, Moses]
  • A. John
    John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
  • B. John
    John is the given name of Sir John Colborne, a British Army officer and colonial administrator who served as Lieutenant Governor of Upper Canada and later as Lord Seaton.
  • C. John
    John is the given name of John David Crow, a celebrated American football player and Heisman Trophy winner.
  • D. John
    John is the given name of John Conway, an Irish footballer born in 1948 who played as a winger.
  • E. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • 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: Moses
Triple: [Leviticus 17, associatedWithFigure, Moses]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moses
Target entity description: 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.
  • A. 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.
  • B. 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.
  • 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. John
    John is the given name of John Madden, the famed American football coach, broadcaster, and namesake of the Madden NFL video game series.
  • E. John
    John is the given name of John Tyler, the 10th president of the United States who served from 1841 to 1845.
  • 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_69e65a6318848190a1dd3e0a6fea3fe2 completed April 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f0c82081908dd0ba4110cec45e completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f97b5b94819087241ecc97e6583f completed May 16, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a07f9dec2c48190bd18c2f24a87f335 completed May 16, 2026, 5 a.m.
Created at: April 10, 2026, 1:54 p.m.