Triple

T11973108
Position Surface form Disambiguated ID Type / Status
Subject Al Dubin E284969 entity
Predicate birthName P65 FINISHED
Object Alexander Dubin
Alexander Dubin, better known as Al Dubin, was an American lyricist famed for his work on classic Hollywood film musicals and popular songs of the 1930s.
 E957900 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: Alexander Dubin | Statement: [Al Dubin, birthName, Alexander Dubin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexander Dubin
Context triple: [Al Dubin, birthName, Alexander Dubin]
  • A. Paul Dubov
    Paul Dubov was an American actor and screenwriter known for his work in film and television during the mid-20th century.
  • B. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
  • C. Mikhail Kaufman
    Mikhail Kaufman was a Soviet cinematographer and documentary filmmaker best known for his innovative visual work in early avant-garde cinema.
  • D. Alexander Poliakoff
    Alexander Poliakoff was a Russian-born British electronics engineer and inventor, noted for his work in early television and radar technology.
  • E. Paul Bogaev
    Paul Bogaev is a renowned musical director and orchestrator best known for his work on major Broadway productions and film adaptations of stage musicals.
  • 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: Alexander Dubin
Triple: [Al Dubin, birthName, Alexander Dubin]
Generated description
Alexander Dubin, better known as Al Dubin, was an American lyricist famed for his work on classic Hollywood film musicals and popular songs of the 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexander Dubin
Target entity description: Alexander Dubin, better known as Al Dubin, was an American lyricist famed for his work on classic Hollywood film musicals and popular songs of the 1930s.
  • A. Paul Dubov
    Paul Dubov was an American actor and screenwriter known for his work in film and television during the mid-20th century.
  • B. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
  • C. Mikhail Kaufman
    Mikhail Kaufman was a Soviet cinematographer and documentary filmmaker best known for his innovative visual work in early avant-garde cinema.
  • D. Alexander Poliakoff
    Alexander Poliakoff was a Russian-born British electronics engineer and inventor, noted for his work in early television and radar technology.
  • E. Paul Bogaev
    Paul Bogaev is a renowned musical director and orchestrator best known for his work on major Broadway productions and film adaptations of stage musicals.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471e608e881908d45558d6251af9e completed May 1, 2026, 9:27 a.m.
NEDg Description generation batch_69f47b7ac4048190ae09f18f1a90338f completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47db91f38819092b7b5c5e2bb489b completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.