Triple

T5226135
Position Surface form Disambiguated ID Type / Status
Subject Sophie Tucker E117991 entity
Predicate birthName P65 FINISHED
Object Sonya Kalish
Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
 E526313 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: Sonya Kalish | Statement: [Sophie Tucker, birthName, Sonya Kalish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sonya Kalish
Context triple: [Sophie Tucker, birthName, Sonya Kalish]
  • A. Sonya Levien
    Sonya Levien was a prominent American screenwriter known for her work on numerous Hollywood films from the silent era through the 1950s, often adapting literary and theatrical works for the screen.
  • B. Elisheva Rotstein
    Elisheva Rotstein is a fictional character portrayed by Israeli actress Ayelet Zurer, likely featured in an Israeli film or television production.
  • C. Anita Goshkin
    Anita Goshkin was the first wife of Nobel Prize–winning American novelist Saul Bellow.
  • D. Lisa Pinsker
    Lisa Pinsker is an individual notable enough to be recognized as a prominent bearer of the surname Pinsker.
  • E. Nancy Rutchik
    Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
  • 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: Sonya Kalish
Triple: [Sophie Tucker, birthName, Sonya Kalish]
Generated description
Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sonya Kalish
Target entity description: Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
  • A. Sonya Levien
    Sonya Levien was a prominent American screenwriter known for her work on numerous Hollywood films from the silent era through the 1950s, often adapting literary and theatrical works for the screen.
  • B. Elisheva Rotstein
    Elisheva Rotstein is a fictional character portrayed by Israeli actress Ayelet Zurer, likely featured in an Israeli film or television production.
  • C. Anita Goshkin
    Anita Goshkin was the first wife of Nobel Prize–winning American novelist Saul Bellow.
  • D. Lisa Pinsker
    Lisa Pinsker is an individual notable enough to be recognized as a prominent bearer of the surname Pinsker.
  • E. Nancy Rutchik
    Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adc9be081909903b9f844c3d146 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfb70320ac819088ba3b1da868d9a4 completed March 22, 2026, 9:31 a.m.
NEDg Description generation batch_69bfb783194081908002f857ff6f7ede completed March 22, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_69bfb7de05588190898383d8ac6ef494 completed March 22, 2026, 9:35 a.m.
Created at: March 20, 2026, 1:48 p.m.