Triple
T13742831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distortion to Static |
E330130
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object |
Kelo
Kelo is a music producer known for crafting the sound of the project Distortion to Static.
|
E1057808
|
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: Kelo | Statement: [Distortion to Static, hasProducer, Kelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelo Context triple: [Distortion to Static, hasProducer, Kelo]
-
A.
Kelo
Kelo is a hip-hop music producer known for his work on The Roots’ influential album "Do You Want More?!!!??!".
-
B.
Kleinburg
Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
-
C.
K-ville
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
The Forest City
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
- 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: Kelo Triple: [Distortion to Static, hasProducer, Kelo]
Generated description
Kelo is a music producer known for crafting the sound of the project Distortion to Static.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelo Target entity description: Kelo is a music producer known for crafting the sound of the project Distortion to Static.
-
A.
Kelo
Kelo is a hip-hop music producer known for his work on The Roots’ influential album "Do You Want More?!!!??!".
-
B.
Kleinburg
Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
-
C.
K-ville
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
-
D.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
E.
The Forest City
The Forest City is a nickname for Portland, Maine, highlighting its abundant trees, parks, and natural green spaces.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6db3a48190a4f3595355f9073b |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79ee1eaf88190a3ee3b9a20271ea8 |
completed | May 3, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79f7216b08190800165d46172222c |
completed | May 3, 2026, 7:18 p.m. |
Created at: April 9, 2026, 9:55 p.m.