Triple
T15530376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devo |
E370196
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Mutato Muzika
Mutato Muzika is a Los Angeles–based music production company and studio founded by members of Devo, known for composing scores for films, television, and commercials.
|
E1162575
|
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: Mutato Muzika | Statement: [Devo, associatedAct, Mutato Muzika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutato Muzika Context triple: [Devo, associatedAct, Mutato Muzika]
-
A.
Mambo
Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
-
B.
Mambo
Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
-
C.
Goapele
Goapele is an American soul and R&B singer-songwriter known for her socially conscious lyrics and smooth, jazz-inflected vocal style.
-
D.
Nyimba
Nyimba is a town in eastern Zambia that lies along the Great East Road and serves as a local commercial and transit hub.
-
E.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
- 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: Mutato Muzika Triple: [Devo, associatedAct, Mutato Muzika]
Generated description
Mutato Muzika is a Los Angeles–based music production company and studio founded by members of Devo, known for composing scores for films, television, and commercials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mutato Muzika Target entity description: Mutato Muzika is a Los Angeles–based music production company and studio founded by members of Devo, known for composing scores for films, television, and commercials.
-
A.
Mambo
Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
-
B.
Mambo
Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
-
C.
Goapele
Goapele is an American soul and R&B singer-songwriter known for her socially conscious lyrics and smooth, jazz-inflected vocal style.
-
D.
Nyimba
Nyimba is a town in eastern Zambia that lies along the Great East Road and serves as a local commercial and transit hub.
-
E.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3ea7d5ac81908bd1ee64de39dba7 |
completed | May 9, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff413a68488190a6c8907e36a602dc |
completed | May 9, 2026, 2:14 p.m. |
Created at: April 10, 2026, 4:05 a.m.