Triple
T22012610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shorts |
E543614
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Cecil Shorts Jr. |
—
|
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: Cecil Shorts Jr. | Statement: [Shorts, hasNotableBearer, Cecil Shorts Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecil Shorts Jr. Context triple: [Shorts, hasNotableBearer, Cecil Shorts Jr.]
-
A.
Cecil Shorts III
chosen
Cecil Shorts III is a former American football wide receiver who played in the NFL, most notably for the Jacksonville Jaguars.
-
B.
Cecil Willis Jr.
Cecil Willis Jr. is a local American politician who serves as the mayor of Stafford, Texas.
-
C.
Cecil Williams
Cecil Williams is an American pastor and civil rights leader best known for his long-time leadership of Glide Memorial Church in San Francisco and his advocacy for social justice and the poor.
-
D.
Cedric Morris
Cedric Morris was a British painter and plantsman known for his distinctive portraits and landscapes, as well as for mentoring a generation of artists through his influential teaching.
-
E.
Cecil Lewis
Cecil Lewis was a British writer and screenwriter recognized for his Academy Award-winning work in film.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.