Triple

T1129686
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nine-Nine E22999 entity
Predicate portrayedBy P1507 FINISHED
Object Andre Braugher
Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
E145629 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: Andre Braugher | Statement: [Brooklyn Nine-Nine, portrayedBy, Andre Braugher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andre Braugher
Context triple: [Brooklyn Nine-Nine, portrayedBy, Andre Braugher]
  • A. Thomas Haden Church
    Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
  • B. Donald Faison
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • C. Dennis Franz
    Dennis Franz is an American actor best known for his acclaimed portrayal of Detective Andy Sipowicz on the television series "NYPD Blue."
  • D. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • E. Chris Cooper
    Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
  • 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: Andre Braugher
Triple: [Brooklyn Nine-Nine, portrayedBy, Andre Braugher]
Generated description
Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andre Braugher
Target entity description: Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
  • A. Thomas Haden Church
    Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
  • B. Donald Faison
    Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
  • C. Dennis Franz
    Dennis Franz is an American actor best known for his acclaimed portrayal of Detective Andy Sipowicz on the television series "NYPD Blue."
  • D. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • E. Chris Cooper
    Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9971114c81909769b3ad78b95189 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9df823208190ae27a659ac283e2a completed March 7, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac9e4788d08190b2a6f34bbf9f2671 completed March 7, 2026, 9:53 p.m.
Created at: March 1, 2026, 7:44 p.m.