Triple
T13748918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in Brooklyn |
E330288
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Startel
Startel is a musical artist associated with the Brooklyn music scene.
|
E1060674
|
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: Startel | Statement: [Made in Brooklyn, featuresArtist, Startel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Startel Context triple: [Made in Brooklyn, featuresArtist, Startel]
-
A.
Ankum
Ankum is a municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
B.
Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
-
C.
Borgentreich
Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
-
D.
Koksijde
Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
-
E.
Fürth
Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
- 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: Startel Triple: [Made in Brooklyn, featuresArtist, Startel]
Generated description
Startel is a musical artist associated with the Brooklyn music scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Startel Target entity description: Startel is a musical artist associated with the Brooklyn music scene.
-
A.
Ankum
Ankum is a municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
B.
Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
-
C.
Borgentreich
Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
-
D.
Koksijde
Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
-
E.
Fürth
Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7ac78ef5081909caccd2fc5772f24 |
completed | May 3, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad54e3e88190aeae31d69788cce5 |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.