Triple
T12485423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Babangida |
E298419
|
entity |
| Predicate | honorificNickname |
P743
|
FINISHED |
| Object |
IBB
IBB is the widely used nickname of Ibrahim Badamasi Babangida, a former Nigerian military ruler who led the country from 1985 to 1993.
|
E983805
|
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: IBB | Statement: [Ibrahim Babangida, honorificNickname, IBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBB Context triple: [Ibrahim Babangida, honorificNickname, IBB]
-
A.
IBB
IBB is the acronym for the International Broadcasting Bureau, the U.S. government agency that managed and supported international broadcasting services like Voice of America.
-
B.
IBB
IBB is the ICAO airline designator for Binter Canarias, a regional carrier based in the Canary Islands, Spain.
-
C.
iBBA
The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
-
D.
IBI
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
-
E.
IBX
IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
- 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: IBB Triple: [Ibrahim Babangida, honorificNickname, IBB]
Generated description
IBB is the widely used nickname of Ibrahim Badamasi Babangida, a former Nigerian military ruler who led the country from 1985 to 1993.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IBB Target entity description: IBB is the widely used nickname of Ibrahim Badamasi Babangida, a former Nigerian military ruler who led the country from 1985 to 1993.
-
A.
IBB
IBB is the acronym for the International Broadcasting Bureau, the U.S. government agency that managed and supported international broadcasting services like Voice of America.
-
B.
IBB
IBB is the ICAO airline designator for Binter Canarias, a regional carrier based in the Canary Islands, Spain.
-
C.
iBBA
The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
-
D.
IBI
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
-
E.
IBX
IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94ddf0b6c8190aff4fe267d8f6efe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2b5ed481909ead4f5b96d44064 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f6401199408190ad2657802afd93c9 |
completed | May 2, 2026, 6:18 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.