Triple

T12476621
Position Surface form Disambiguated ID Type / Status
Subject Da Ali G Show E298190 entity
Predicate spinOffWork P51499 FINISHED
Object Brüno
Brüno is a satirical mockumentary comedy film featuring Sacha Baron Cohen as an outrageous Austrian fashion reporter who exposes cultural absurdities through provocative pranks and interviews.
 E985344 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: Brüno | Statement: [Da Ali G Show, spinOffWork, Brüno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brüno
Context triple: [Da Ali G Show, spinOffWork, Brüno]
  • A. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • B. Bruno (dog)
    Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
  • C. Benno
    Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • D. Benny the Bull
    Benny the Bull is the high-energy, acrobatic mascot of the NBA’s Chicago Bulls, known for his comedic antics and fan engagement during games.
  • E. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • 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: Brüno
Triple: [Da Ali G Show, spinOffWork, Brüno]
Generated description
Brüno is a satirical mockumentary comedy film featuring Sacha Baron Cohen as an outrageous Austrian fashion reporter who exposes cultural absurdities through provocative pranks and interviews.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brüno
Target entity description: Brüno is a satirical mockumentary comedy film featuring Sacha Baron Cohen as an outrageous Austrian fashion reporter who exposes cultural absurdities through provocative pranks and interviews.
  • A. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • B. Bruno (dog)
    Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
  • C. Benno
    Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • D. Benny the Bull
    Benny the Bull is the high-energy, acrobatic mascot of the NBA’s Chicago Bulls, known for his comedic antics and fan engagement during games.
  • E. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f25462881908dccb831b474875d completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f64278823c81908db729497000a2e4 completed May 2, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69f643089abc8190b366e777ef48982a completed May 2, 2026, 6:31 p.m.
Created at: April 8, 2026, 9:56 p.m.