Triple

T1361366
Position Surface form Disambiguated ID Type / Status
Subject Alan Jay Lerner E29103 entity
Predicate spouse P13 FINISHED
Object Nina Bushkin
Nina Bushkin was the wife of renowned American lyricist and playwright Alan Jay Lerner.
E286862 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: Nina Bushkin | Statement: [Alan Jay Lerner, spouse, Nina Bushkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Bushkin
Context triple: [Alan Jay Lerner, spouse, Nina Bushkin]
  • A. Nina Bernstein
    Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
  • B. Juliana Minsky
    Juliana Minsky is a daughter of pioneering artificial intelligence researcher Marvin Minsky.
  • C. Nancy Rutchik
    Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
  • D. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • E. Nina Loeb
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • 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: Nina Bushkin
Triple: [Alan Jay Lerner, spouse, Nina Bushkin]
Generated description
Nina Bushkin was the wife of renowned American lyricist and playwright Alan Jay Lerner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nina Bushkin
Target entity description: Nina Bushkin was the wife of renowned American lyricist and playwright Alan Jay Lerner.
  • A. Nina Bernstein
    Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
  • B. Juliana Minsky
    Juliana Minsky is a daughter of pioneering artificial intelligence researcher Marvin Minsky.
  • C. Nancy Rutchik
    Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
  • D. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • E. Nina Loeb
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69af9893d2048190ac3b36c32f14b63d completed March 10, 2026, 4:05 a.m.
NEDg Description generation batch_69af9990f77081908a03b454fad1fad9 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99fe48f881908a1a20f5eed8688c completed March 10, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:57 p.m.