Triple

T49508
Position Surface form Disambiguated ID Type / Status
Subject Red Sox Nation E973 entity
Predicate hasNickname P39 FINISHED
Object RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
 E3922 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: RSN | Statement: [Red Sox Nation, hasNickname, RSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSN
Context triple: [Red Sox Nation, hasNickname, RSN]
  • A. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • C. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • D. AFC
    The AFC (American Football Conference) is one of the two conferences that make up the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
  • E. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • 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: RSN
Triple: [Red Sox Nation, hasNickname, RSN]
Generated description
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSN
Target entity description: RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
  • A. RCA
    RCA (Radio Corporation of America) was a major American electronics and communications company that played a pivotal role in the development and commercialization of radio and television technology in the 20th century.
  • B. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • D. PRR
    PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
  • E. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af3e4a88190abe2f0c5a0e83ff3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e659ac48190a11b70a85867d784 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24eff3f0881909b46502175682d99 completed Feb. 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69a2542d9b388190bcc4581c3b79aa51 completed Feb. 28, 2026, 2:34 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.