Triple

T1308466
Position Surface form Disambiguated ID Type / Status
Subject Mishnah Berurah E27933 entity
Predicate usesSources P2296 FINISHED
Object Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
 E149396 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: Taz | Statement: [Mishnah Berurah, usesSources, Taz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taz
Context triple: [Mishnah Berurah, usesSources, Taz]
  • A. Tuffy
    Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s athletic teams.
  • B. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • C. Garfield
    Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • 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: Taz
Triple: [Mishnah Berurah, usesSources, Taz]
Generated description
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taz
Target entity description: Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • A. Tuffy
    Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s athletic teams.
  • B. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • C. Garfield
    Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • F. None of above. chosen

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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3a1978c819081cdc85f8fe10dd3 completed March 7, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69acb4132dbc8190b3e6c4880c33b7f2 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.