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.