Triple
T35970418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCI Cassie Stuart |
E1040268
|
entity |
| Predicate | policeForceInStory |
P115466
|
FINISHED |
| Object | London Metropolitan Police Service |
—
|
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: London Metropolitan Police Service | Statement: [DCI Cassie Stuart, policeForceInStory, London Metropolitan Police Service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeForceInStory Context triple: [DCI Cassie Stuart, policeForceInStory, London Metropolitan Police Service]
-
A.
lawEnforcementInStory
chosen
Indicates that law enforcement personnel or activities are present, involved, or play a role within the narrative of the story.
-
B.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
C.
policeForceCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular police force.
-
D.
policeDescription
Indicates that an entity serves as or provides a descriptive account or characterization of a police-related entity, role, action, or situation.
-
E.
policeUnit
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:07 p.m.