Triple
T13937870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munchi |
E335165
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Munchi
Munchi is a Dutch music producer and DJ known for pioneering the modern moombahton sound by blending reggaeton, house, and various global bass influences.
|
E1070893
|
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: Munchi | Statement: [Munchi, hasName, Munchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munchi Context triple: [Munchi, hasName, Munchi]
-
A.
Munchi
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
-
B.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
C.
Mankanya
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
-
D.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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: Munchi Triple: [Munchi, hasName, Munchi]
Generated description
Munchi is a Dutch music producer and DJ known for pioneering the modern moombahton sound by blending reggaeton, house, and various global bass influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Munchi Target entity description: Munchi is a Dutch music producer and DJ known for pioneering the modern moombahton sound by blending reggaeton, house, and various global bass influences.
-
A.
Munchi
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
-
B.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
C.
Mankanya
Mankanya is a Senegambian language spoken primarily by the Mankanya people in parts of Senegal, Gambia, and Guinea-Bissau.
-
D.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f7cfe8dca08190825b8e1bbfe411a6 |
completed | May 3, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb5504702081908a1492f1a8e24434 |
completed | May 6, 2026, 2:49 p.m. |
Created at: April 9, 2026, 10:17 p.m.