Triple
T25706824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Plod’s police station |
E644613
|
entity |
| Predicate | primaryOfficer |
P191332
|
FINISHED |
| Object | Mr. Plod |
—
|
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: Mr. Plod | Statement: [Mr. Plod’s police station, primaryOfficer, Mr. Plod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOfficer Context triple: [Mr. Plod’s police station, primaryOfficer, Mr. Plod]
-
A.
firstOfficer
Indicates that one entity serves as the first officer (second-in-command) to another entity, typically in a hierarchical or command structure.
-
B.
primaryLegalRepresentative
Indicates that one entity serves as the main authorized legal representative or agent acting on behalf of another entity in legal matters.
-
C.
firstOfficeHolder
Indicates that the subject is the very first individual to hold a particular office or position associated with the object.
-
D.
principalAct
Indicates that an entity performs or is responsible for the main or primary action in a given context.
-
E.
principalActFor
Indicates that one entity performs an action or enters into an arrangement on behalf of another entity in the capacity of a principal.
- F. None of above. chosen
Provenance (4 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 21, 2026, 9:05 p.m.