Triple
T15685292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortitudo Bologna |
E380182
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Effe
Effe is the popular nickname of Fortitudo Bologna, a historic Italian professional basketball club known for its passionate fan base and intense rivalries.
|
E1171658
|
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: Effe | Statement: [Fortitudo Bologna, nickname, Effe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Effe Context triple: [Fortitudo Bologna, nickname, Effe]
-
A.
Erfe
Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
Efejoku
Efejoku is a popular Nigerian street-hop song by rapper Lil Kesh, known for its energetic beat and club-friendly vibe.
-
D.
Efika
Efika is a low-power, small-form-factor computer platform based on PowerPC architecture, designed for efficiency and embedded or lightweight desktop use.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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: Effe Triple: [Fortitudo Bologna, nickname, Effe]
Generated description
Effe is the popular nickname of Fortitudo Bologna, a historic Italian professional basketball club known for its passionate fan base and intense rivalries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Effe Target entity description: Effe is the popular nickname of Fortitudo Bologna, a historic Italian professional basketball club known for its passionate fan base and intense rivalries.
-
A.
Erfe
Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
Efejoku
Efejoku is a popular Nigerian street-hop song by rapper Lil Kesh, known for its energetic beat and club-friendly vibe.
-
D.
Efika
Efika is a low-power, small-form-factor computer platform based on PowerPC architecture, designed for efficiency and embedded or lightweight desktop use.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee740e08190aa048b374ea7bfa0 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff70ae4d408190924aa3ef57b4e685 |
completed | May 9, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff7132e48c81908c17ade46713bb13 |
completed | May 9, 2026, 5:38 p.m. |
Created at: April 10, 2026, 4:44 a.m.