Triple

T4322655
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nine-Nine E96553 entity
Predicate alsoKnownAs P39 FINISHED
Object B99
B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
 E432308 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: B99 | Statement: [Brooklyn Nine-Nine, alsoKnownAs, B99]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B99
Context triple: [Brooklyn Nine-Nine, alsoKnownAs, B99]
  • A. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • B. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • C. BPS-9
    BPS-9 is a mid-level government pay grade in Pakistan’s Basic Pay Scale system, typically assigned to clerical, technical, and junior administrative positions.
  • D. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • E. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • 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: B99
Triple: [Brooklyn Nine-Nine, alsoKnownAs, B99]
Generated description
B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B99
Target entity description: B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
  • A. B8
    B8 is the eighth-generation Volkswagen Passat, a mid-size family car known for its refined design, advanced technology, and efficient powertrains.
  • B. B82
    B82 is a New York City bus route that runs through Brooklyn, connecting neighborhoods such as Canarsie with other parts of the borough.
  • C. BPS-9
    BPS-9 is a mid-level government pay grade in Pakistan’s Basic Pay Scale system, typically assigned to clerical, technical, and junior administrative positions.
  • D. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • E. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • 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.