Triple

T12947606
Position Surface form Disambiguated ID Type / Status
Subject Happiest Season E309809 entity
Predicate musicBy P1952 FINISHED
Object Amie Doherty
Amie Doherty is an Irish composer and orchestrator known for her film and television scores, including work on the romantic comedy-drama "Happiest Season."
E1072470 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: Amie Doherty | Statement: [Happiest Season, musicBy, Amie Doherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amie Doherty
Context triple: [Happiest Season, musicBy, Amie Doherty]
  • A. Rebecca McGuinness
    Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
  • B. Amanda Naughton
    Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
  • C. Erin Dignam
    Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
  • D. Rebecca O'Brien
    Rebecca O'Brien is a British film producer best known for her long-standing collaboration with director Ken Loach on acclaimed social-realist films.
  • E. Caitlin Buckley
    Caitlin Buckley is known as the daughter of American satirical novelist and political commentator Christopher Buckley.
  • 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: Amie Doherty
Triple: [Happiest Season, musicBy, Amie Doherty]
Generated description
Amie Doherty is an Irish composer and orchestrator known for her film and television scores, including work on the romantic comedy-drama "Happiest Season."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amie Doherty
Target entity description: Amie Doherty is an Irish composer and orchestrator known for her film and television scores, including work on the romantic comedy-drama "Happiest Season."
  • A. Rebecca McGuinness
    Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
  • B. Amanda Naughton
    Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
  • C. Erin Dignam
    Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
  • D. Rebecca O'Brien
    Rebecca O'Brien is a British film producer best known for her long-standing collaboration with director Ken Loach on acclaimed social-realist films.
  • E. Caitlin Buckley
    Caitlin Buckley is known as the daughter of American satirical novelist and political commentator Christopher Buckley.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1af38248190a85d0fa3a26c3d08 completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba7f116608190b664d0dc8027af38 completed May 6, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69fba8fe11c881908662d8e8e1720ea4 completed May 6, 2026, 8:47 p.m.
Created at: April 9, 2026, 5:43 p.m.