Triple
T10015401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April MacLean |
E199478
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Tanya Adeola |
E87218
|
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: Tanya Adeola | Statement: [April MacLean, allyOf, Tanya Adeola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Adeola Context triple: [April MacLean, allyOf, Tanya Adeola]
-
A.
Tanya Adeola
chosen
Tanya Adeola is a companion character from the Doctor Who universe, known as a bright and resourceful student who appears in the spin-off series "Class."
-
B.
Vivian Adeola
Vivian Adeola is a character in the Doctor Who universe, known as the mother of Tanya Adeola in the spin-off series "Class."
-
C.
Dora Akunyili
Dora Akunyili was a renowned Nigerian pharmacist and public servant best known for her groundbreaking work as head of the National Agency for Food and Drug Administration and Control (NAFDAC), where she led major campaigns against counterfeit drugs.
-
D.
Adenike Balogun
Adenike Balogun is a fictional character portrayed as the mother of George, serving as a central figure in his story.
-
E.
Ayodele Balogun
Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a8f6f3081909310e28725d31f7e |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.