Triple
T23181136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Recorders, Hollywood |
E579460
|
entity |
| Predicate | usedByArtist |
P46218
|
FINISHED |
| Object | Police |
E349234
|
NE 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: Police | Statement: [Radio Recorders, Hollywood, usedByArtist, Police]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Police Context triple: [Radio Recorders, Hollywood, usedByArtist, Police]
-
A.
Police
Police is a town in northwestern Poland, located in the West Pomeranian Voivodeship near Szczecin.
-
B.
Police
chosen
The police are a civil force empowered by the state to maintain public order, enforce laws, and prevent, detect, and investigate crime.
-
C.
Police Public
"Police Public" is a 1994 Indian Hindi-language crime thriller film featuring Persis Khambatta in a prominent role.
-
D.
Police Directorate
The Police Directorate is the central administrative authority responsible for overseeing and coordinating the activities of the Norwegian Police Service.
-
E.
Public Security Police
The Public Security Police is Portugal’s national civil law enforcement agency responsible for maintaining public order, preventing crime, and ensuring citizen safety in urban areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6ebff48190ad1543051ca0239b |
completed | April 29, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b1bb248190acc8f31308f736bc |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:05 p.m.