Triple

T4322646
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nine-Nine E96553 entity
Predicate character P662 FINISHED
Object Norm Scully
Norm Scully is a lazy, food-obsessed, and often clueless veteran detective in the comedy series "Brooklyn Nine-Nine," known for his close partnership with Michael Hitchcock and frequent comic relief.
E432306 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: Norm Scully | Statement: [Brooklyn Nine-Nine, character, Norm Scully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norm Scully
Context triple: [Brooklyn Nine-Nine, character, Norm Scully]
  • A. Chris Carter
    Chris Carter is an American television writer and producer best known for creating the science fiction series "The X-Files."
  • B. Ron Wright
    Ron Wright was a Republican U.S. Representative from Texas who served in Congress until his death in 2021.
  • C. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • D. Stephen Heard
    Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
  • E. David Hill
    David Hill was an early American pioneer and politician in the Oregon Country, recognized as a founding figure of the community that became Hillsboro, Oregon.
  • 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: Norm Scully
Triple: [Brooklyn Nine-Nine, character, Norm Scully]
Generated description
Norm Scully is a lazy, food-obsessed, and often clueless veteran detective in the comedy series "Brooklyn Nine-Nine," known for his close partnership with Michael Hitchcock and frequent comic relief.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norm Scully
Target entity description: Norm Scully is a lazy, food-obsessed, and often clueless veteran detective in the comedy series "Brooklyn Nine-Nine," known for his close partnership with Michael Hitchcock and frequent comic relief.
  • A. Chris Carter
    Chris Carter is an American television writer and producer best known for creating the science fiction series "The X-Files."
  • B. Ron Wright
    Ron Wright was a Republican U.S. Representative from Texas who served in Congress until his death in 2021.
  • C. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • D. Stephen Heard
    Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
  • E. David Hill
    David Hill is a prominent television executive and producer best known for shaping modern sports broadcasting, including his influential work at Fox Sports.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d4607a688190a3a7352579ea5ee7 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d51068dc819099ac28361188dcc4 completed March 14, 2026, 9:37 p.m.
Created at: March 12, 2026, 11:12 p.m.