Triple
T19546236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Arness |
E489057
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Marshal Matt Dillon |
—
|
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: Marshal Matt Dillon | Statement: [James Arness, notableRole, Marshal Matt Dillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshal Matt Dillon Context triple: [James Arness, notableRole, Marshal Matt Dillon]
-
A.
Dean Dillon
Dean Dillon is an American country music singer-songwriter best known for writing numerous hit songs for George Strait and other major country artists.
-
B.
Matt Dillon
chosen
Matt Dillon is the fictional U.S. Marshal who serves as the central lawman and protagonist of the long-running Western series "Gunsmoke."
-
C.
Matt Dillon
Matt Dillon is an American actor known for his versatile performances in films ranging from 1980s teen dramas like "The Outsiders" to acclaimed roles in movies such as "Drugstore Cowboy" and "Crash."
-
D.
Sam Ryan
Sam Ryan is one of the children of Janna Little Ryan and her husband, American politician Paul Ryan.
-
E.
Sam Ryan
Sam Ryan is the central forensic pathologist and early lead character in the British crime drama series "Silent Witness."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.