Triple
T19107968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Jarrett |
E467707
|
entity |
| Predicate | loyalty |
P1201
|
FINISHED |
| Object | Cody Jarrett |
—
|
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: Cody Jarrett | Statement: [Ma Jarrett, loyalty, Cody Jarrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cody Jarrett Context triple: [Ma Jarrett, loyalty, Cody Jarrett]
-
A.
Cody Jarrett
chosen
Cody Jarrett is the ruthless, psychotic gang leader famously portrayed by James Cagney in the classic 1949 crime film "White Heat."
-
B.
Cody Bennett
Cody Bennett is a character from the TV series "Dexter," known as the son of Rita Morgan and the younger half-brother of Harrison Morgan.
-
C.
Colt Ford
Colt Ford is an American country rap artist and former professional golfer known for blending hip-hop beats with Southern country themes.
-
D.
Jason Jarrett
Jason Jarrett is an American former stock car racing driver who competed in NASCAR and is the son of NASCAR champion Dale Jarrett.
-
E.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391f00c8190881a5977dd3728ed |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.