Triple
T12990461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemi Eberechi Alade |
E321886
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Innoss'B
Innoss'B is a Congolese singer, rapper, and dancer known for blending Afrobeat and Congolese rhythms into energetic, dance-focused pop music.
|
E1013940
|
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: Innoss'B | Statement: [Yemi Eberechi Alade, hasCollaboratedWith, Innoss'B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innoss'B Context triple: [Yemi Eberechi Alade, hasCollaboratedWith, Innoss'B]
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Novaggio
Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
-
D.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
- 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: Innoss'B Triple: [Yemi Eberechi Alade, hasCollaboratedWith, Innoss'B]
Generated description
Innoss'B is a Congolese singer, rapper, and dancer known for blending Afrobeat and Congolese rhythms into energetic, dance-focused pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Innoss'B Target entity description: Innoss'B is a Congolese singer, rapper, and dancer known for blending Afrobeat and Congolese rhythms into energetic, dance-focused pop music.
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Novaggio
Novaggio is a small municipality in the canton of Ticino in southern Switzerland, known for its scenic hillside setting above Lake Lugano.
-
D.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.