Triple
T16304866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Reese |
E395880
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
600Breezy
600Breezy is an American rapper from Chicago known for his involvement in the drill music scene and affiliations with the 600 set of the Black Disciples.
|
E1205414
|
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: 600Breezy | Statement: [Lil Reese, associatedAct, 600Breezy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 600Breezy Context triple: [Lil Reese, associatedAct, 600Breezy]
-
A.
BREEZE
BREEZE is a local bus service in northern San Diego County, California, operated by the North County Transit District.
-
B.
Breezy
Breezy is a 1973 romantic drama film directed by Clint Eastwood about a free-spirited young woman who forms an unlikely relationship with a middle-aged man.
-
C.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
D.
Reezy
Reezy is a professional NBA 2K League player best known for winning the league’s Most Valuable Player award in the 2020 season.
-
E.
Breeze Xinyi
Breeze Xinyi is a major upscale shopping mall and lifestyle complex located in Taipei’s Xinyi District, known for its fashion boutiques, dining options, and entertainment facilities.
- 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: 600Breezy Triple: [Lil Reese, associatedAct, 600Breezy]
Generated description
600Breezy is an American rapper from Chicago known for his involvement in the drill music scene and affiliations with the 600 set of the Black Disciples.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 600Breezy Target entity description: 600Breezy is an American rapper from Chicago known for his involvement in the drill music scene and affiliations with the 600 set of the Black Disciples.
-
A.
BREEZE
BREEZE is a local bus service in northern San Diego County, California, operated by the North County Transit District.
-
B.
Breezy
Breezy is a 1973 romantic drama film directed by Clint Eastwood about a free-spirited young woman who forms an unlikely relationship with a middle-aged man.
-
C.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
D.
Reezy
Reezy is a professional NBA 2K League player best known for winning the league’s Most Valuable Player award in the 2020 season.
-
E.
Breeze Xinyi
Breeze Xinyi is a major upscale shopping mall and lifestyle complex located in Taipei’s Xinyi District, known for its fashion boutiques, dining options, and entertainment facilities.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d42f1c81908a6869244d727e99 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa3353c8190825b31854a97220c |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0020e282888190bb1d23b4876b4b75 |
completed | May 10, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0021ba49808190bf69c22bc5c8d4da |
completed | May 10, 2026, 6:12 a.m. |
Created at: April 10, 2026, 5:06 a.m.