Triple

T9069256
Position Surface form Disambiguated ID Type / Status
Subject Irwin Kostal E217320 entity
Predicate familyName P18 FINISHED
Object Kostal
Kostal is a surname most notably associated with American musical arranger and conductor Irwin Kostal, known for his work on classic film and stage musicals.
 E776070 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: Kostal | Statement: [Irwin Kostal, familyName, Kostal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kostal
Context triple: [Irwin Kostal, familyName, Kostal]
  • A. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • B. Bosch
    Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
  • C. Diehl
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • D. Eaton
    Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
  • E. Eaton
    Eaton is the namesake of the Eaton Professor of the Science of Government at Harvard University, an endowed academic chair in political science and government studies.
  • 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: Kostal
Triple: [Irwin Kostal, familyName, Kostal]
Generated description
Kostal is a surname most notably associated with American musical arranger and conductor Irwin Kostal, known for his work on classic film and stage musicals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kostal
Target entity description: Kostal is a surname most notably associated with American musical arranger and conductor Irwin Kostal, known for his work on classic film and stage musicals.
  • A. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • B. Bosch
    Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
  • C. Diehl
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • D. Eaton
    Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
  • E. Eaton
    Eaton is the namesake of the Eaton Professor of the Science of Government at Harvard University, an endowed academic chair in political science and government studies.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffde470388190ae88a96654404410 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:11 p.m.