Triple
T12382603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omo Baba Olowo |
E295779
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
B-Red
B-Red is a Nigerian Afropop singer and songwriter known for his melodic hooks and collaborations within the HKN and DMW music circles.
|
E978180
|
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: B-Red | Statement: [Omo Baba Olowo, featuresArtist, B-Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B-Red Context triple: [Omo Baba Olowo, featuresArtist, B-Red]
-
A.
Barracuda Green
Barracuda Green is a specific eco-focused or energy-efficient variant of the Barracuda product line.
-
B.
Red V
Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
BRG
BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
-
E.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
- 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: B-Red Triple: [Omo Baba Olowo, featuresArtist, B-Red]
Generated description
B-Red is a Nigerian Afropop singer and songwriter known for his melodic hooks and collaborations within the HKN and DMW music circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B-Red Target entity description: B-Red is a Nigerian Afropop singer and songwriter known for his melodic hooks and collaborations within the HKN and DMW music circles.
-
A.
Barracuda Green
Barracuda Green is a specific eco-focused or energy-efficient variant of the Barracuda product line.
-
B.
Red V
Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
-
C.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
D.
BRG
BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
-
E.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62be4de888190aac94d441748d295 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d4d0b8881908aa6b67db7d14609 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:54 p.m.