Triple
T22905418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodbye & Good Riddance |
E568431
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mitch Mula
Mitch Mula is a hip-hop music producer known for his work with prominent rap artists, including contributions to Juice WRLD’s breakout projects.
|
E1560031
|
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: Mitch Mula | Statement: [Goodbye & Good Riddance, producer, Mitch Mula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Mula Context triple: [Goodbye & Good Riddance, producer, Mitch Mula]
-
A.
Joe Maphis
Joe Maphis was an influential American country and rockabilly guitarist, famed for his virtuosic double-neck guitar playing and session work in the 1950s and 1960s.
-
B.
Phil Gubala
Phil Gubala is a notable resident associated with the community of Affton, Missouri.
-
C.
Michael Akins
Michael Akins is a fictional Gotham City law enforcement official in DC Comics, often depicted as a high-ranking officer or commissioner within the Batman mythos.
-
D.
Luke Malaba
Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
-
E.
Danny Denzongpa
Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
- 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: Mitch Mula Triple: [Goodbye & Good Riddance, producer, Mitch Mula]
Generated description
Mitch Mula is a hip-hop music producer known for his work with prominent rap artists, including contributions to Juice WRLD’s breakout projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitch Mula Target entity description: Mitch Mula is a hip-hop music producer known for his work with prominent rap artists, including contributions to Juice WRLD’s breakout projects.
-
A.
Joe Maphis
Joe Maphis was an influential American country and rockabilly guitarist, famed for his virtuosic double-neck guitar playing and session work in the 1950s and 1960s.
-
B.
Phil Gubala
Phil Gubala is a notable resident associated with the community of Affton, Missouri.
-
C.
Michael Akins
Michael Akins is a fictional Gotham City law enforcement official in DC Comics, often depicted as a high-ranking officer or commissioner within the Batman mythos.
-
D.
Luke Malaba
Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
-
E.
Danny Denzongpa
Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9cd640481908d25d3bd98337457 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc1bd0808190a0a5f8f603308b45 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:41 p.m.