Triple

T4066627
Position Surface form Disambiguated ID Type / Status
Subject Nurse Jackie E86338 entity
Predicate creator P184 FINISHED
Object Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
E410500 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: Evan Dunsky | Statement: [Nurse Jackie, creator, Evan Dunsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Dunsky
Context triple: [Nurse Jackie, creator, Evan Dunsky]
  • A. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • B. Evan Burrows
    Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
  • C. Evan Daugherty
    Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
  • D. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • E. Evan Schiff
    Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
  • 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: Evan Dunsky
Triple: [Nurse Jackie, creator, Evan Dunsky]
Generated description
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Evan Dunsky
Target entity description: Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
  • A. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • B. Evan Burrows
    Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
  • C. Evan Daugherty
    Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
  • D. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • E. Evan Schiff
    Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf58d9c8190936e453b0d397cb0 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b17c888190ac4771f2bb4f0d58 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5637e72948190989169b0a46916a8 completed March 14, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69b563fc4cb081908ba0f1a799338a8c completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.