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.