Triple
T12321493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Good Time |
E293737
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Fresh VDM
Fresh VDM is a Nigerian music producer best known for crafting Afropop and Afrobeats hits, including work on Davido’s acclaimed album "A Good Time."
|
E974432
|
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: Fresh VDM | Statement: [A Good Time, producer, Fresh VDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fresh VDM Context triple: [A Good Time, producer, Fresh VDM]
-
A.
Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
-
B.
VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
-
C.
FVMV
FVMV is the ICAO airport code for Masvingo Airport in Masvingo, Zimbabwe.
-
D.
VOMM
VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
-
E.
Open VLD
Open VLD is a Flemish liberal political party in Belgium that advocates free-market policies, individual freedoms, and European integration.
- 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: Fresh VDM Triple: [A Good Time, producer, Fresh VDM]
Generated description
Fresh VDM is a Nigerian music producer best known for crafting Afropop and Afrobeats hits, including work on Davido’s acclaimed album "A Good Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fresh VDM Target entity description: Fresh VDM is a Nigerian music producer best known for crafting Afropop and Afrobeats hits, including work on Davido’s acclaimed album "A Good Time."
-
A.
Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
-
B.
VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
-
C.
FVMV
FVMV is the ICAO airport code for Masvingo Airport in Masvingo, Zimbabwe.
-
D.
VOMM
VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
-
E.
Open VLD
Open VLD is a Flemish liberal political party in Belgium that advocates free-market policies, individual freedoms, and European integration.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8aa94881908e4c184062037ab5 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5e20cc8190a84f50ddded76974 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.