Triple
T480149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bola Tinubu |
E9149
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tinubu |
E9149
|
NE FINISHED |
How this triple was built (2 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: Tinubu | Statement: [Bola Tinubu, familyName, Tinubu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinubu Context triple: [Bola Tinubu, familyName, Tinubu]
-
A.
Bola Tinubu
chosen
Bola Tinubu is a Nigerian politician and former governor of Lagos State who became president of Nigeria in 2023.
-
B.
Abiodun Okulaja
Abiodun Okulaja is a soccer referee best known for officiating at the highest levels of professional play in the United States, including Major League Soccer.
-
C.
Olara Otunnu
Olara Otunnu is a Ugandan diplomat, lawyer, and human rights advocate known for his work on behalf of war-affected children and his leadership roles at the United Nations.
-
D.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
-
E.
Alaafin of Oyo
The Alaafin of Oyo is the paramount monarch of the historic Oyo Empire and one of the most influential traditional rulers in Yoruba culture and politics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4711cd9ac8190bc95a6560950525b |
completed | March 1, 2026, 5:02 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.