Triple
T19553860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paperwork |
E489257
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kutt the Check
Kutt the Check is a music producer known for his work on the track "Paperwork."
|
E1383423
|
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: Kutt the Check | Statement: [Paperwork, producer, Kutt the Check]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutt the Check Context triple: [Paperwork, producer, Kutt the Check]
-
A.
Kutton
Kutton is a scenic mountain village and popular tourist spot in Pakistan-administered Azad Kashmir, known for its lush green landscapes, waterfalls, and cool climate.
-
B.
Kuto-Kute
Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
-
C.
Mutts
Mutts is a long-running, gently humorous comic strip by Patrick McDonnell that follows the daily lives and friendship of a dog named Earl and a cat named Mooch.
-
D.
Zebra Katz
Zebra Katz is an American rapper and performance artist known for his dark, minimalist hip-hop sound and prominent role in the queer rap movement.
-
E.
The Kenny
The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
- 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: Kutt the Check Triple: [Paperwork, producer, Kutt the Check]
Generated description
Kutt the Check is a music producer known for his work on the track "Paperwork."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kutt the Check Target entity description: Kutt the Check is a music producer known for his work on the track "Paperwork."
-
A.
Kutton
Kutton is a scenic mountain village and popular tourist spot in Pakistan-administered Azad Kashmir, known for its lush green landscapes, waterfalls, and cool climate.
-
B.
Kuto-Kute
Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
-
C.
Mutts
Mutts is a long-running, gently humorous comic strip by Patrick McDonnell that follows the daily lives and friendship of a dog named Earl and a cat named Mooch.
-
D.
Zebra Katz
Zebra Katz is an American rapper and performance artist known for his dark, minimalist hip-hop sound and prominent role in the queer rap movement.
-
E.
The Kenny
The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577c5adc8190999227c0230dd693 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07598afe80819096b6be67b9051814 |
completed | May 15, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0759f38b5481909f5dac913206f132 |
completed | May 15, 2026, 5:37 p.m. |
Created at: April 10, 2026, 1:41 p.m.