Triple
T23203984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Burks |
E580394
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Burks |
—
|
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: Burks | Statement: [Alec Burks, familyName, Burks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burks Context triple: [Alec Burks, familyName, Burks]
-
A.
Burks
chosen
Burks is the surname of Catherine Burks-Brooks, a noted American civil rights activist and Freedom Rider.
-
B.
Burks-Brooks
Burks-Brooks is the hyphenated surname of civil rights activist Catherine Burks-Brooks, known for her role in the Freedom Rides during the U.S. Civil Rights Movement.
-
C.
Brooks
Brooks is a small city in southeastern Alberta, Canada, known for its agricultural industry and role as a regional service and transportation hub.
-
D.
Brooks
Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
-
E.
Brunson
Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907b3e88819088a397a99456bf77 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.