Triple
T28923898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice Lawrence Wargrave |
E733591
|
entity |
| Predicate | victimSelectionCriterion |
P94055
|
FINISHED |
| Object | people guilty of serious crimes who avoided punishment |
—
|
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: people guilty of serious crimes who avoided punishment | Statement: [Justice Lawrence Wargrave, victimSelectionCriterion, people guilty of serious crimes who avoided punishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimSelectionCriterion Context triple: [Justice Lawrence Wargrave, victimSelectionCriterion, people guilty of serious crimes who avoided punishment]
-
A.
victimRole
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
B.
victimCountPolicy
chosen
Indicates the rule or criterion used to determine how victims are counted or classified in a given context.
-
C.
victimGroup
Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
-
D.
victimParticipation
Indicates that the victim took part in, contributed to, or was otherwise involved in the event or action described.
-
E.
victimGroupContext
Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:22 a.m.