Triple

T7567979
Position Surface form Disambiguated ID Type / Status
Subject Michael Bivins E178967 entity
Predicate associatedAct P37 FINISHED
Object 702
702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
E673984 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: 702 | Statement: [Michael Bivins, associatedAct, 702]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 702
Context triple: [Michael Bivins, associatedAct, 702]
  • A. 227
    227 is an American sitcom that aired in the 1980s and early 1990s, focusing on the lives of residents in a Washington, D.C. apartment building and starring Marla Gibbs.
  • B. 007
    007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
  • C. 808
    The 808 is a legendary Roland drum machine whose distinctive synthesized sounds have profoundly shaped hip-hop, electronic, and pop music.
  • D. A702
    The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
  • E. 7
    7 is a New York City Subway service that runs along the IRT Flushing Line between Queens and Manhattan, known for connecting Flushing to Midtown and serving major hubs like Times Square.
  • 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: 702
Triple: [Michael Bivins, associatedAct, 702]
Generated description
702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 702
Target entity description: 702 is an American R&B girl group best known for their late-1990s hits like "Where My Girls At?" and "Steelo."
  • A. 227
    227 is an American sitcom that aired in the 1980s and early 1990s, focusing on the lives of residents in a Washington, D.C. apartment building and starring Marla Gibbs.
  • B. 007
    007 is the iconic numerical code designation of the fictional British secret agent James Bond in Ian Fleming’s spy franchise.
  • C. 808
    The 808 is a legendary Roland drum machine whose distinctive synthesized sounds have profoundly shaped hip-hop, electronic, and pop music.
  • D. A702
    The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
  • E. 7
    7 is a New York City Subway service that runs along the IRT Flushing Line between Queens and Manhattan, known for connecting Flushing to Midtown and serving major hubs like Times Square.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f91d9bfc8190af6f5f8211c3dda2 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e0c23481908fc59ecc318840ba completed March 28, 2026, 10:32 p.m.
NEDg Description generation batch_69c858e260d0819084df667d5aec53f7 completed March 28, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69c859790e8881908a78449f40d528d8 completed March 28, 2026, 10:43 p.m.
Created at: March 27, 2026, 3:51 p.m.