Triple
T27667917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evil Relations |
E697277
|
entity |
| Predicate | hasPerpetratorGroup |
P81195
|
FINISHED |
| Object | Moors murderers |
—
|
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: Moors murderers | Statement: [Evil Relations, hasPerpetratorGroup, Moors murderers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerpetratorGroup Context triple: [Evil Relations, hasPerpetratorGroup, Moors murderers]
-
A.
hasPerpetrators
chosen
Indicates that certain entities are responsible for carrying out, committing, or executing a particular act, event, or wrongdoing.
-
B.
hasPersecutedGroup
Indicates that an entity has carried out systematic oppression, harassment, or harmful actions against a particular group.
-
C.
hasCrimeGroup
Indicates a relationship where an entity is associated with, belongs to, or is controlled by a particular criminal group or organization.
-
D.
hasPerpetratorOrigin
Indicates that the origin or source of a perpetrator (such as their nationality, place of birth, or background) is associated with a particular event, action, or crime.
-
E.
accusedGroup
Indicates that one group is formally charged or blamed by another party for committing a wrongdoing or offense.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 2:39 p.m.