Triple
T20877145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jump Street Chapel |
E514048
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Officer Dennis Booker |
—
|
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: Officer Dennis Booker | Statement: [Jump Street Chapel, usedBy, Officer Dennis Booker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Officer Dennis Booker Context triple: [Jump Street Chapel, usedBy, Officer Dennis Booker]
-
A.
Officer Lonnie Jamison
Officer Lonnie Jamison is a fictional law enforcement officer from the television series "In the Heat of the Night," portrayed by actor Hugh O’Connor.
-
B.
Officer Ray Hechler
Officer Ray Hechler is a fictional law enforcement officer featured as a character in the television series "Boomtown."
-
C.
Officer Frank Smith
Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
-
D.
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."
-
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: Officer Dennis Booker Target entity description: Officer Dennis Booker is a fictional undercover police officer from the 21 Jump Street television franchise, known for his rebellious attitude and later starring role in the spin-off series "Booker."
-
A.
Officer Lonnie Jamison
Officer Lonnie Jamison is a fictional law enforcement officer from the television series "In the Heat of the Night," portrayed by actor Hugh O’Connor.
-
B.
Officer Ray Hechler
Officer Ray Hechler is a fictional law enforcement officer featured as a character in the television series "Boomtown."
-
C.
Officer Frank Smith
Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
-
D.
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."
-
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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6767ec0819080721e2e75bd0d66 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.