Triple
T38342959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Emanuel AME Church |
E1041456
|
entity |
| Predicate | motiveOfAttack |
P6699
|
FINISHED |
| Object | racially motivated hatred |
—
|
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: racially motivated hatred | Statement: [Mother Emanuel AME Church, motiveOfAttack, racially motivated hatred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveOfAttack Context triple: [Mother Emanuel AME Church, motiveOfAttack, racially motivated hatred]
-
A.
reasonForAttack
Indicates that one entity’s attack on another is motivated or caused by the specified reason.
-
B.
aimOfAttacker
Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
-
C.
objectiveOfAttackers
Indicates the target or goal that attackers aim to reach or affect through their attack.
-
D.
motive
chosen
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
E.
politicallyMotivatedAttack
Indicates an attack carried out primarily to achieve political objectives or influence political conditions, rather than for personal, criminal, or purely military reasons.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.