Triple
T21736546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Cody |
E536539
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Andrew Cody |
—
|
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: Andrew Cody | Statement: [Pope Cody, fullName, Andrew Cody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Cody Context triple: [Pope Cody, fullName, Andrew Cody]
-
A.
Andrew Cody
chosen
Andrew Cody is an individual known by the nickname "Pope," suggesting a distinctive or notable personal or public persona.
-
B.
Andrew Davenport
Andrew Davenport is a British television writer and producer best known for creating the preschool series "Teletubbies."
-
C.
Michael Caldwell
Michael Caldwell is an American local government leader serving as the mayor of Woodstock, Georgia.
-
D.
Michael Cassidy
Michael Cassidy is an American actor best known for his television roles on series such as The O.C., Men at Work, and People of Earth.
-
E.
Andrew Crawford
Andrew Crawford is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0c0a088190bd1926fa4b73d8f4 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:49 p.m.