Triple
T8705332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudboy |
E206633
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
YungLunchBox
YungLunchBox is a music producer known for working with the artist Mudboy.
|
E750868
|
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: YungLunchBox | Statement: [Mudboy, producer, YungLunchBox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YungLunchBox Context triple: [Mudboy, producer, YungLunchBox]
-
A.
Out to Lunch!
Out to Lunch! is a landmark 1964 avant-garde jazz album by vibraphonist Eric Dolphy, renowned for its innovative compositions and influential role in the evolution of modern jazz.
-
B.
Soylent
Soylent is a brand of meal replacement products designed to provide convenient, nutritionally complete food in drinks, powders, and bars.
-
C.
Utz
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
-
D.
Happy Meal
The Happy Meal is McDonald’s iconic child-focused combo meal, typically featuring a small entrée, side, drink, and a toy, marketed as a fun, kid-friendly dining experience.
-
E.
Yummy Bingham
Yummy Bingham is an American R&B and soul singer-songwriter known for her distinctive, youthful vocals and collaborations with prominent hip-hop and R&B artists.
- 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: YungLunchBox Triple: [Mudboy, producer, YungLunchBox]
Generated description
YungLunchBox is a music producer known for working with the artist Mudboy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YungLunchBox Target entity description: YungLunchBox is a music producer known for working with the artist Mudboy.
-
A.
Out to Lunch!
Out to Lunch! is a landmark 1964 avant-garde jazz album by vibraphonist Eric Dolphy, renowned for its innovative compositions and influential role in the evolution of modern jazz.
-
B.
Soylent
Soylent is a brand of meal replacement products designed to provide convenient, nutritionally complete food in drinks, powders, and bars.
-
C.
Utz
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
-
D.
Happy Meal
The Happy Meal is McDonald’s iconic child-focused combo meal, typically featuring a small entrée, side, drink, and a toy, marketed as a fun, kid-friendly dining experience.
-
E.
Yummy Bingham
Yummy Bingham is an American R&B and soul singer-songwriter known for her distinctive, youthful vocals and collaborations with prominent hip-hop and R&B artists.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fb43f081909df5d1e31cb1ec04 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef423b1c4819081ea887af8f8e576 |
completed | April 2, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69cef622bc58819085db9fc2413b5518 |
completed | April 2, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.