Triple
T13930965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Gang Records |
E334988
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Sledgren
Sledgren is an American hip-hop record producer best known for his work with Wiz Khalifa and frequent collaborations within the Taylor Gang collective.
|
E1069159
|
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: Sledgren | Statement: [Taylor Gang Records, associatedAct, Sledgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sledgren Context triple: [Taylor Gang Records, associatedAct, Sledgren]
-
A.
Sandgren
Sandgren is a Swedish surname borne by various notable individuals in fields such as film, sports, and the arts.
-
B.
Östergren
Östergren is a Swedish surname most notably associated with acclaimed novelist and screenwriter Klas Östergren.
-
C.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
D.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
E.
Grimkell
Grimkell was an 11th-century English bishop and missionary who played a key role in the Christianization of Norway and the establishment of its early church hierarchy.
- 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: Sledgren Triple: [Taylor Gang Records, associatedAct, Sledgren]
Generated description
Sledgren is an American hip-hop record producer best known for his work with Wiz Khalifa and frequent collaborations within the Taylor Gang collective.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sledgren Target entity description: Sledgren is an American hip-hop record producer best known for his work with Wiz Khalifa and frequent collaborations within the Taylor Gang collective.
-
A.
Sandgren
Sandgren is a Swedish surname borne by various notable individuals in fields such as film, sports, and the arts.
-
B.
Östergren
Östergren is a Swedish surname most notably associated with acclaimed novelist and screenwriter Klas Östergren.
-
C.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
D.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
E.
Grimkell
Grimkell was an 11th-century English bishop and missionary who played a key role in the Christianization of Norway and the establishment of its early church hierarchy.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8452648190b7392d75eb1ca874 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f7cf37cd7c81908f4da2495403bc6c |
completed | May 3, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cfee80a881909de648b20043bf6d |
completed | May 3, 2026, 10:45 p.m. |
Created at: April 9, 2026, 10:16 p.m.