Triple
T12455254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Milla |
E297639
|
entity |
| Predicate | club |
P8194
|
FINISHED |
| Object |
Leopard Douala
Leopard Douala is a Cameroonian football club known for being one of the early teams in the career of legendary striker Roger Milla.
|
E983719
|
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: Leopard Douala | Statement: [Roger Milla, club, Leopard Douala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopard Douala Context triple: [Roger Milla, club, Leopard Douala]
-
A.
Union Douala
Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
-
B.
New Star de Douala
New Star de Douala is a professional football club based in Douala, Cameroon, competing in the country’s top domestic leagues.
-
C.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
D.
Beni Douala
Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
-
E.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
- 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: Leopard Douala Triple: [Roger Milla, club, Leopard Douala]
Generated description
Leopard Douala is a Cameroonian football club known for being one of the early teams in the career of legendary striker Roger Milla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leopard Douala Target entity description: Leopard Douala is a Cameroonian football club known for being one of the early teams in the career of legendary striker Roger Milla.
-
A.
Union Douala
Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
-
B.
New Star de Douala
New Star de Douala is a professional football club based in Douala, Cameroon, competing in the country’s top domestic leagues.
-
C.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
D.
Beni Douala
Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
-
E.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6405f9f6481909bcc3b2e3deeae7e |
completed | May 2, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.