Triple

T7241720
Position Surface form Disambiguated ID Type / Status
Subject Maurice Moscovitch E155371 entity
Predicate hasFamilyName P18 FINISHED
Object Moscovitch
Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
 E650569 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: Moscovitch | Statement: [Maurice Moscovitch, hasFamilyName, Moscovitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moscovitch
Context triple: [Maurice Moscovitch, hasFamilyName, Moscovitch]
  • A. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • B. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • C. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Gershon
    Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
  • 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: Moscovitch
Triple: [Maurice Moscovitch, hasFamilyName, Moscovitch]
Generated description
Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moscovitch
Target entity description: Moscovitch is a surname most notably associated with Maurice Moscovitch, a Russian-born Jewish actor who worked in theatre and film in the early 20th century.
  • A. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • B. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • C. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Gershon
    Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea552a688190a00f5d0ad982f787 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc4292c881909ca7b140a83ed53d completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7cd7cb5f081908c2ca7ce8653f25f completed March 28, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69c7cdf9e0608190a466ed638b728924 completed March 28, 2026, 12:47 p.m.
Created at: March 27, 2026, 2:55 p.m.