Triple
T32620488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Murder of Stephen Lawrence |
E833906
|
entity |
| Predicate | portraysEthnicityOfVictim |
P87687
|
FINISHED |
| Object | Black British |
—
|
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: Black British | Statement: [The Murder of Stephen Lawrence, portraysEthnicityOfVictim, Black British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysEthnicityOfVictim Context triple: [The Murder of Stephen Lawrence, portraysEthnicityOfVictim, Black British]
-
A.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
B.
primaryPerpetratorEthnicity
Indicates the ethnic group to which the main individual responsible for an act or incident belongs.
-
C.
languageOfVictims
Indicates the language or languages spoken or used by the victims involved in an event or situation.
-
D.
notableVictimNationality
Indicates that the relationship specifies the nationality of a notable victim associated with an event, incident, or action.
-
E.
ethnicGroupDepicted
chosen
Indicates that a particular ethnic group is visually represented or portrayed in the subject entity (such as an image, artwork, or media item).
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 1, 2026, 1:06 a.m.