Triple
T8968130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salman Ramadan Abedi |
E214189
|
entity |
| Predicate | attackContext |
P85993
|
FINISHED |
| Object | Ariana Grande concert |
—
|
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: Ariana Grande concert | Statement: [Salman Ramadan Abedi, attackContext, Ariana Grande concert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attackContext Context triple: [Salman Ramadan Abedi, attackContext, Ariana Grande concert]
-
A.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
B.
attackType
Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
-
C.
primaryAdversaryContext
Indicates the main opposing force or conflict-driving element that defines the central adversarial situation within a given context.
-
D.
attackProfile
Indicates a relationship where one entity initiates or carries out an aggressive or hostile action against another entity.
-
E.
attacks
Indicates that one entity initiates an aggressive or harmful action directed toward another entity.
- F. None of above. chosen
Provenance (4 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6764aca48190a5e472d1b6841886 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5fcf24348190b6b845205161c0ee |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:01 p.m.