Triple

T3341218
Position Surface form Disambiguated ID Type / Status
Subject U.S. broadcast television networks E70263 entity
Predicate includeNetwork P2637 FINISHED
Object Buzzr
Buzzr is an American digital multicast television network specializing in classic game shows from the mid-20th century onward.
 E349839 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: Buzzr | Statement: [U.S. broadcast television networks, includeNetwork, Buzzr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buzzr
Context triple: [U.S. broadcast television networks, includeNetwork, Buzzr]
  • A. Buzz
    Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
  • B. Buzz
    Buzz is the yellow jacket costumed mascot of the Georgia Institute of Technology, known for energizing crowds at the university’s athletic and campus events.
  • C. Marketo
    Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
  • D. Sprinklr
    Sprinklr is a customer experience management and social media analytics software company that helps large enterprises manage and optimize interactions across digital channels.
  • E. BuzzMachine
    BuzzMachine is the media and journalism-focused blog written by professor and author Jeff Jarvis, known for commentary on the future of news and digital media.
  • 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: Buzzr
Triple: [U.S. broadcast television networks, includeNetwork, Buzzr]
Generated description
Buzzr is an American digital multicast television network specializing in classic game shows from the mid-20th century onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buzzr
Target entity description: Buzzr is an American digital multicast television network specializing in classic game shows from the mid-20th century onward.
  • A. Buzz
    Buzz is the nickname of Edwin "Buzz" Aldrin, the American astronaut who became the second person to walk on the Moon during the Apollo 11 mission.
  • B. Buzz
    Buzz is the yellow jacket costumed mascot of the Georgia Institute of Technology, known for energizing crowds at the university’s athletic and campus events.
  • C. Marketo
    Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
  • D. Sprinklr
    Sprinklr is a customer experience management and social media analytics software company that helps large enterprises manage and optimize interactions across digital channels.
  • E. BuzzMachine
    BuzzMachine is the media and journalism-focused blog written by professor and author Jeff Jarvis, known for commentary on the future of news and digital media.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31c3aaba48190b203e344d71080f3 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da28a04819096e7ced5f123592a completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:12 p.m.