Triple
T19533505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Uzi Vert vs. the World |
E488711
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object |
M-TRAX
M-TRAX is a music producer known for contributing to the sound of Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
|
E1381642
|
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: M-TRAX | Statement: [Lil Uzi Vert vs. the World, hasProducer, M-TRAX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-TRAX Context triple: [Lil Uzi Vert vs. the World, hasProducer, M-TRAX]
-
A.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
B.
Tre Trax
Tre Trax is a music producer and member of the Internet Money collective, known for crafting contemporary hip-hop and trap instrumentals.
-
C.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
D.
8TRAX
8TRAX was a retro-themed nightclub at Walt Disney World’s Pleasure Island that featured 1970s and 1980s music and dance.
-
E.
K Track
K Track is a model railway track system by Märklin known for its realistic appearance and flexible layout options in HO scale.
- 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: M-TRAX Triple: [Lil Uzi Vert vs. the World, hasProducer, M-TRAX]
Generated description
M-TRAX is a music producer known for contributing to the sound of Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-TRAX Target entity description: M-TRAX is a music producer known for contributing to the sound of Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
-
A.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
B.
Tre Trax
Tre Trax is a music producer and member of the Internet Money collective, known for crafting contemporary hip-hop and trap instrumentals.
-
C.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
D.
8TRAX
8TRAX was a retro-themed nightclub at Walt Disney World’s Pleasure Island that featured 1970s and 1980s music and dance.
-
E.
K Track
K Track is a model railway track system by Märklin known for its realistic appearance and flexible layout options in HO scale.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e7d3614819082a1d6fe252ee95a |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074f3db7f08190a9e103460ebe10ab |
completed | May 15, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fbaca3c8190a34dbb6fd4ed1844 |
completed | May 15, 2026, 4:54 p.m. |
Created at: April 10, 2026, 1:41 p.m.