Triple
T27518845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edrice Femi Adebayo |
E694648
|
entity |
| Predicate | highSchoolState |
P16284
|
FINISHED |
| Object | North Carolina |
—
|
NE NERFINISHED |
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: North Carolina | Statement: [Edrice Femi Adebayo, highSchoolState, North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolState Context triple: [Edrice Femi Adebayo, highSchoolState, North Carolina]
-
A.
stateOfHighSchool
chosen
Indicates the U.S. state in which a given high school is located or operates.
-
B.
highSchoolStatus
Indicates the relationship between a person and their current or completed status in high school (e.g., enrolled, graduated, dropped out).
-
C.
highSchoolAchievement
Indicates the level or nature of a person’s academic or related performance outcomes during their high school education.
-
D.
highSchoolCountry
Indicates the country in which a person attended or completed high school.
-
E.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62efe606c819098e1255c5325db22 |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:20 p.m.