Triple
T27776226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Love Manchester Emergency Fund |
E699191
|
entity |
| Predicate | hasVictimSupportRole |
P174356
|
FINISHED |
| Object | compensation for bereaved families |
—
|
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: compensation for bereaved families | Statement: [We Love Manchester Emergency Fund, hasVictimSupportRole, compensation for bereaved families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVictimSupportRole Context triple: [We Love Manchester Emergency Fund, hasVictimSupportRole, compensation for bereaved families]
-
A.
hasVictimRoleWith
Indicates a relationship in which one entity occupies or is assigned the role of victim in relation to another entity or event.
-
B.
hasTypicalVictimRole
Indicates that an entity typically occupies the role of a victim in the context of a particular action, event, or relationship.
-
C.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
D.
hasVictimCount
Indicates the number of victims associated with a particular event, action, or entity.
-
E.
supportsRole
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 27, 2026, 5:06 p.m.