Triple
T16729830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls Want Girls |
E406557
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Ambezza
Ambezza is a music producer and songwriter best known for co-writing and producing high-profile hip-hop and rap tracks.
|
E1057225
|
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: Ambezza | Statement: [Girls Want Girls, writer, Ambezza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambezza Context triple: [Girls Want Girls, writer, Ambezza]
-
A.
Ambezza
Ambezza is a German hip-hop producer best known for crafting beats for major international artists, including co-producing DaBaby’s hit single "ROCKSTAR."
-
B.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
C.
Ambo
Ambo, also known as Ovambo, refers to a Bantu ethnic group primarily inhabiting northern Namibia and southern Angola, known for their rich cultural traditions and historical kingdoms.
-
D.
Ambo
Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
-
E.
Ambo
Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
- 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: Ambezza Triple: [Girls Want Girls, writer, Ambezza]
Generated description
Ambezza is a music producer and songwriter best known for co-writing and producing high-profile hip-hop and rap tracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambezza Target entity description: Ambezza is a music producer and songwriter best known for co-writing and producing high-profile hip-hop and rap tracks.
-
A.
Ambezza
chosen
Ambezza is a German hip-hop producer best known for crafting beats for major international artists, including co-producing DaBaby’s hit single "ROCKSTAR."
-
B.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
C.
Ambo
Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
-
D.
Ambo
Ambo, also known as Ovambo, refers to a Bantu ethnic group primarily inhabiting northern Namibia and southern Angola, known for their rich cultural traditions and historical kingdoms.
-
E.
Ambo
Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
- F. None of above.
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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:20 a.m.