Triple

T1652677
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Academy of Music E35727 entity
Predicate shortName P43 FINISHED
Object BAM
BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
E186687 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: BAM | Statement: [Brooklyn Academy of Music, shortName, BAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAM
Context triple: [Brooklyn Academy of Music, shortName, BAM]
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. The Big Bam
    The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • C. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • D. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • E. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • 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: BAM
Triple: [Brooklyn Academy of Music, shortName, BAM]
Generated description
BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BAM
Target entity description: BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. The Big Bam
    The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • C. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • D. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • E. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ac133881909222b25029096407 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad613d218081909e3ed7e74dcf82fc completed March 8, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_69ad61b178148190a088495eb599c9cb completed March 8, 2026, 11:46 a.m.
Created at: March 4, 2026, 7:29 p.m.