Triple
T20741280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armored |
E510446
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | 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: Matt Dillon | Statement: [Armored, starring, Matt Dillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Dillon Context triple: [Armored, starring, Matt Dillon]
-
A.
Matt Dillon
chosen
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."
-
B.
Matt Dillon
Matt Dillon is the fictional U.S. Marshal who serves as the central lawman and protagonist of the long-running Western series "Gunsmoke."
-
C.
Michael Walsh
Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
-
D.
John Reilly
John Reilly is a musician known for being a member of the Irish-American Celtic rock band O'Malley's March.
-
E.
John Reilly
John Reilly was an American actor best known for his long-running roles on daytime soap operas such as General Hospital and Passions.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.