Triple

T2317105
Position Surface form Disambiguated ID Type / Status
Subject Lazar Kaganovich E51090 entity
Predicate givenName P17 FINISHED
Object Lazar
Lazar is a masculine given name of Hebrew origin, commonly associated with Eastern European and Jewish communities.
 E104942 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: Lazar | Statement: [Lazar Kaganovich, givenName, Lazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lazar
Context triple: [Lazar Kaganovich, givenName, Lazar]
  • A. Lazare
    Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
  • B. Lazarus of Bethany
    Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
  • C. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • D. Salvator
    Salvator is the Latin term traditionally used in Christian theology and liturgy to refer to Jesus Christ as the Savior.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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: Lazar
Triple: [Lazar Kaganovich, givenName, Lazar]
Generated description
Lazar is a masculine given name of Hebrew origin, commonly associated with Eastern European and Jewish communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lazar
Target entity description: Lazar is a masculine given name of Hebrew origin, commonly associated with Eastern European and Jewish communities.
  • A. Lazare
    Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
  • B. Lazarus of Bethany chosen
    Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
  • C. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • D. Salvator
    Salvator is the Latin term traditionally used in Christian theology and liturgy to refer to Jesus Christ as the Savior.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ab5bf78819085120418a26cbe28 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b2a89788190975ab66f432f834f completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:49 p.m.