Triple
T16826225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Alele-Williams |
E409024
|
entity |
| Predicate | startTimeOfPosition_vice-chancellor_of_University_of_Benin |
P72265
|
FINISHED |
| Object | 1985 |
—
|
LITERAL 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: 1985 | Statement: [Grace Alele-Williams, startTimeOfPosition_vice-chancellor_of_University_of_Benin, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPosition_vice-chancellor_of_University_of_Benin Context triple: [Grace Alele-Williams, startTimeOfPosition_vice-chancellor_of_University_of_Benin, 1985]
-
A.
startTimeAsViceChancellor
chosen
Indicates the date and time at which an individual began serving in the role of Vice Chancellor.
-
B.
servedAsViceChancellorUntil
Indicates that an individual held the position of vice chancellor up to a specified end date or time period.
-
C.
foundingViceChancellor
Indicates that a person served as the first (founding) vice chancellor of an institution or organization.
-
D.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
E.
officeStartTime (Vice President of Nigeria)
Indicates the time at which the Vice President of Nigeria officially begins their term in office.
- F. None of above.
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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3126db88190ac5595b0d50e4232 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.