Triple
T12258853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in Lagos |
E292169
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mut4y
Mut4y is a Nigerian record producer and one half of the production duo Legendury Beatz, known for crafting Afrobeats hits with major artists like Wizkid.
|
E972984
|
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: Mut4y | Statement: [Made in Lagos, producer, Mut4y]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mut4y Context triple: [Made in Lagos, producer, Mut4y]
-
A.
StarCalc
StarCalc is the spreadsheet application component of the StarOffice office productivity suite.
-
B.
Daily 4
Daily 4 is a California Lottery draw game in which players select a four-digit number for a chance to win cash prizes.
-
C.
Odds and Evens
Odds and Evens is a 1978 Italian action-comedy film starring Terence Hill and Bud Spencer as mismatched partners taking on a Miami gambling syndicate.
-
D.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
-
E.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
- 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: Mut4y Triple: [Made in Lagos, producer, Mut4y]
Generated description
Mut4y is a Nigerian record producer and one half of the production duo Legendury Beatz, known for crafting Afrobeats hits with major artists like Wizkid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mut4y Target entity description: Mut4y is a Nigerian record producer and one half of the production duo Legendury Beatz, known for crafting Afrobeats hits with major artists like Wizkid.
-
A.
StarCalc
StarCalc is the spreadsheet application component of the StarOffice office productivity suite.
-
B.
Daily 4
Daily 4 is a California Lottery draw game in which players select a four-digit number for a chance to win cash prizes.
-
C.
Odds and Evens
Odds and Evens is a 1978 Italian action-comedy film starring Terence Hill and Bud Spencer as mismatched partners taking on a Miami gambling syndicate.
-
D.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
-
E.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abfc8588190ab9300c6e5e59092 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f61a13fd1481908a06ca65b276e0e1 |
completed | May 2, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f61ad2bd0c8190ada37bc1f8ae160f |
completed | May 2, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:52 p.m.