Triple
T23146120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Thinks He’s Ray Stevens |
E577592
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Dudley Dorite of the Highway Patrol |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dudley Dorite of the Highway Patrol | Statement: [He Thinks He’s Ray Stevens, hasTrack, Dudley Dorite of the Highway Patrol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudley Dorite of the Highway Patrol Context triple: [He Thinks He’s Ray Stevens, hasTrack, Dudley Dorite of the Highway Patrol]
-
A.
Officer Ray Hechler
Officer Ray Hechler is a fictional law enforcement officer featured as a character in the television series "Boomtown."
-
B.
Officer Doug Penhall
Officer Doug Penhall is a lovable, wisecracking undercover cop known for his loyalty and comic relief on the TV series "21 Jump Street."
-
C.
Officer Bill Gannon
Officer Bill Gannon is a fictional Los Angeles police officer and Joe Friday’s partner on the television series "Dragnet," portrayed by actor Harry Morgan.
-
D.
Officer Jay McPherson
Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
-
E.
Officer John Hunton
Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dudley Dorite of the Highway Patrol Target entity description: "Dudley Dorite of the Highway Patrol" is a comedic country song by Ray Stevens that parodies a bumbling law enforcement officer in a style reminiscent of old-time radio and TV heroes.
-
A.
Officer Ray Hechler
Officer Ray Hechler is a fictional law enforcement officer featured as a character in the television series "Boomtown."
-
B.
Officer Doug Penhall
Officer Doug Penhall is a lovable, wisecracking undercover cop known for his loyalty and comic relief on the TV series "21 Jump Street."
-
C.
Officer Bill Gannon
Officer Bill Gannon is a fictional Los Angeles police officer and Joe Friday’s partner on the television series "Dragnet," portrayed by actor Harry Morgan.
-
D.
Officer Jay McPherson
Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
-
E.
Officer John Hunton
Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
- F. None of above. chosen
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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.