Triple

T14348871
Position Surface form Disambiguated ID Type / Status
Subject Copying Beethoven E355798 entity
Predicate mainCharacter P1183 FINISHED
Object Anna Holtz
Anna Holtz is a fictional young music copyist and aspiring composer who works closely with Ludwig van Beethoven in the film "Copying Beethoven."
E1109581 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: Anna Holtz | Statement: [Copying Beethoven, mainCharacter, Anna Holtz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Holtz
Context triple: [Copying Beethoven, mainCharacter, Anna Holtz]
  • A. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • B. Sarah Hallenbeck
    Sarah Hallenbeck is a fictional character from the 1991 action film "The Last Boy Scout," known as the troubled yet resilient wife of private investigator Joe Hallenbeck.
  • C. Alanna Heiss
    Alanna Heiss is an American curator and arts administrator best known for pioneering alternative art spaces and founding the influential contemporary art institution MoMA PS1 in New York City.
  • D. Kate Havers
    Kate Havers is the daughter of English actor Nigel Havers.
  • E. Kate Sacker
    Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
  • 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: Anna Holtz
Triple: [Copying Beethoven, mainCharacter, Anna Holtz]
Generated description
Anna Holtz is a fictional young music copyist and aspiring composer who works closely with Ludwig van Beethoven in the film "Copying Beethoven."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Holtz
Target entity description: Anna Holtz is a fictional young music copyist and aspiring composer who works closely with Ludwig van Beethoven in the film "Copying Beethoven."
  • A. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • B. Sarah Hallenbeck
    Sarah Hallenbeck is a fictional character from the 1991 action film "The Last Boy Scout," known as the troubled yet resilient wife of private investigator Joe Hallenbeck.
  • C. Alanna Heiss
    Alanna Heiss is an American curator and arts administrator best known for pioneering alternative art spaces and founding the influential contemporary art institution MoMA PS1 in New York City.
  • D. Kate Havers
    Kate Havers is the daughter of English actor Nigel Havers.
  • E. Kate Sacker
    Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda907abf88190b86ce65390d9ca40 completed May 8, 2026, 9:12 a.m.
NEDg Description generation batch_69fdb05e39f4819096b226a2e183b4da completed May 8, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69fdb12756ac819087a120b84f021e51 completed May 8, 2026, 9:47 a.m.
Created at: April 10, 2026, 1:14 a.m.