Triple

T504894
Position Surface form Disambiguated ID Type / Status
Subject Cinderella (1950 film) E10482 entity
Predicate musicBy P1952 FINISHED
Object Joseph Dubin
Joseph Dubin was an American film composer and orchestrator best known for his work on numerous Walt Disney animated features in the mid-20th century.
E153104 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: Joseph Dubin | Statement: [Cinderella (1950 film), musicBy, Joseph Dubin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Dubin
Context triple: [Cinderella (1950 film), musicBy, Joseph Dubin]
  • A. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • B. Jay Sugarman
    Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
  • C. Joseph Buloff
    Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
  • D. David Winkler
    David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
  • E. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • 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: Joseph Dubin
Triple: [Cinderella (1950 film), musicBy, Joseph Dubin]
Generated description
Joseph Dubin was an American film composer and orchestrator best known for his work on numerous Walt Disney animated features in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joseph Dubin
Target entity description: Joseph Dubin was an American film composer and orchestrator best known for his work on numerous Walt Disney animated features in the mid-20th century.
  • A. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • B. Jay Sugarman
    Jay Sugarman is an American businessman and real estate investor best known as the owner and chairman of Major League Soccer’s Philadelphia Union.
  • C. Joseph Buloff
    Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
  • D. David Winkler
    David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
  • E. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc5ee996081908fba19d8d141a779 completed March 8, 2026, 12:42 a.m.
NEDg Description generation batch_69acc684fb34819097fbb1659032d3c2 completed March 8, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69acc6ec853c8190b60bd2d876605c48 completed March 8, 2026, 12:46 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.