Triple
T23978202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.J. Hooker |
E604431
|
entity |
| Predicate | hasPoliceDepartmentFictionalization |
P95623
|
FINISHED |
| Object | Los Angeles Police Department-style agency |
—
|
LITERAL FINISHED |
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: Los Angeles Police Department-style agency | Statement: [T.J. Hooker, hasPoliceDepartmentFictionalization, Los Angeles Police Department-style agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceDepartmentFictionalization Context triple: [T.J. Hooker, hasPoliceDepartmentFictionalization, Los Angeles Police Department-style agency]
-
A.
hasFictionalPoliceDepartment
chosen
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
B.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
C.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
D.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
E.
hasDepartmentInFiction
Indicates that a fictional work includes or features a specific department as part of its setting or narrative.
- F. None of above.
Provenance (3 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bba58c8190a1a4b5bcc5bc9d98 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:26 p.m.