Triple
T6088429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruff Draft |
E135695
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Make'em NV
"Make'em NV" is a hip-hop track by Ruff Draft, showcasing the artist's energetic style and production.
|
E566153
|
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: Make'em NV | Statement: [Ruff Draft, hasTrack, Make'em NV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make'em NV Context triple: [Ruff Draft, hasTrack, Make'em NV]
-
A.
Aegon N.V.
Aegon N.V. is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
B.
Bazelevs Company
Bazelevs Company is a Russian film production company founded by director Timur Bekmambetov, known for producing genre films and pioneering screenlife-style movies.
-
C.
Boxtel
Boxtel is a town and municipality in the southern Netherlands known for its historic center and location between the cities of Eindhoven and ’s-Hertogenbosch.
-
D.
Branobel
Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
-
E.
Niconovum AB
Niconovum AB is a Swedish company that develops and markets nicotine replacement therapy products such as gums, lozenges, and inhalers.
- 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: Make'em NV Triple: [Ruff Draft, hasTrack, Make'em NV]
Generated description
"Make'em NV" is a hip-hop track by Ruff Draft, showcasing the artist's energetic style and production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Make'em NV Target entity description: "Make'em NV" is a hip-hop track by Ruff Draft, showcasing the artist's energetic style and production.
-
A.
Aegon N.V.
Aegon N.V. is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
B.
Bazelevs Company
Bazelevs Company is a Russian film production company founded by director Timur Bekmambetov, known for producing genre films and pioneering screenlife-style movies.
-
C.
Boxtel
Boxtel is a town and municipality in the southern Netherlands known for its historic center and location between the cities of Eindhoven and ’s-Hertogenbosch.
-
D.
Branobel
Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
-
E.
Niconovum AB
Niconovum AB is a Swedish company that develops and markets nicotine replacement therapy products such as gums, lozenges, and inhalers.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d65908c8190a9700c0981dabe9a |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11dfb27bc81908c7109debc73249d |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e7a5e7881908d5cc70cc11a58cd |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:12 p.m.