Triple

T4298719
Position Surface form Disambiguated ID Type / Status
Subject Sheldon Leonard E99778 entity
Predicate familyName P18 FINISHED
Object Bershad
Bershad is the surname of American actor, producer, and director Sheldon Leonard, known for his influential work in mid-20th-century film and television.
E429949 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: Bershad | Statement: [Sheldon Leonard, familyName, Bershad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bershad
Context triple: [Sheldon Leonard, familyName, Bershad]
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Shakhlin
    Shakhlin is the surname of Boris Shakhlin, a celebrated Soviet artistic gymnast and multiple Olympic champion.
  • C. Bierut
    Bierut is a Polish surname most notably associated with Bolesław Bierut, a communist politician who served as the leader of postwar Poland.
  • D. Erlikh
    Erlikh is an alternative transliteration or spelling variant of the surname Ehrlich, commonly found in Germanic and Jewish contexts.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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: Bershad
Triple: [Sheldon Leonard, familyName, Bershad]
Generated description
Bershad is the surname of American actor, producer, and director Sheldon Leonard, known for his influential work in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bershad
Target entity description: Bershad is the surname of American actor, producer, and director Sheldon Leonard, known for his influential work in mid-20th-century film and television.
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Shakhlin
    Shakhlin is the surname of Boris Shakhlin, a celebrated Soviet artistic gymnast and multiple Olympic champion.
  • C. Bierut
    Bierut is a Polish surname most notably associated with Bolesław Bierut, a communist politician who served as the leader of postwar Poland.
  • D. Erlikh
    Erlikh is an alternative transliteration or spelling variant of the surname Ehrlich, commonly found in Germanic and Jewish contexts.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c746c9108190a1a81e94b4768f3c completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c929aec48190bb9a00b7086afe01 completed March 14, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5c993a9388190a52e573b013dbe29 completed March 14, 2026, 8:48 p.m.
Created at: March 12, 2026, 11:08 p.m.