Triple
T16207454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York drill scene |
E393364
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object |
Kay Flock
Kay Flock is a Bronx-born rapper known for his aggressive delivery and prominent role in popularizing New York’s modern drill sound.
|
E1200079
|
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: Kay Flock | Statement: [New York drill scene, notableArtist, Kay Flock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Flock Context triple: [New York drill scene, notableArtist, Kay Flock]
-
A.
Jan Mayensfield
Jan Mayensfield is a small airfield serving the remote Norwegian Arctic island of Jan Mayen, primarily used for military and research logistics.
-
B.
Fay Helm
Fay Helm was an American film actress active in the 1930s and 1940s, known for her supporting roles in Hollywood genre films, particularly horror and mystery.
-
C.
Lee Haven Jones
Lee Haven Jones is a Welsh television director known for his work on high-profile British dramas and genre series, including episodes of Doctor Who.
-
D.
Jean Berkey
Jean Berkey is a fictional folk singer and former romantic partner of the title character in the film "Inside Llewyn Davis."
-
E.
Frank Hannah
Frank Hannah is a Scottish-born screenwriter best known for co-writing the crime drama film "The Cooler."
- 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: Kay Flock Triple: [New York drill scene, notableArtist, Kay Flock]
Generated description
Kay Flock is a Bronx-born rapper known for his aggressive delivery and prominent role in popularizing New York’s modern drill sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kay Flock Target entity description: Kay Flock is a Bronx-born rapper known for his aggressive delivery and prominent role in popularizing New York’s modern drill sound.
-
A.
Jan Mayensfield
Jan Mayensfield is a small airfield serving the remote Norwegian Arctic island of Jan Mayen, primarily used for military and research logistics.
-
B.
Fay Helm
Fay Helm was an American film actress active in the 1930s and 1940s, known for her supporting roles in Hollywood genre films, particularly horror and mystery.
-
C.
Lee Haven Jones
Lee Haven Jones is a Welsh television director known for his work on high-profile British dramas and genre series, including episodes of Doctor Who.
-
D.
Jean Berkey
Jean Berkey is a fictional folk singer and former romantic partner of the title character in the film "Inside Llewyn Davis."
-
E.
Frank Hannah
Frank Hannah is a Scottish-born screenwriter best known for co-writing the crime drama film "The Cooler."
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007916d3481909d475f1661d80e77 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00083d7b54819089dbab566d55d638 |
completed | May 10, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008c7430c81908b9620369c609ad8 |
completed | May 10, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:03 a.m.