Triple
T38593037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Blossom |
E932496
|
entity |
| Predicate | damageDelivery |
P191757
|
FINISHED |
| Object | rapid shotgun fire in all directions |
—
|
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: rapid shotgun fire in all directions | Statement: [Death Blossom, damageDelivery, rapid shotgun fire in all directions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damageDelivery Context triple: [Death Blossom, damageDelivery, rapid shotgun fire in all directions]
-
A.
delivery
Indicates the act of transporting and handing over something from a sender to a recipient.
-
B.
damagedIn
Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
-
C.
damageLeadsTo
Indicates that one instance of damage causally results in or contributes to another specified outcome or condition.
-
D.
damageOccurred
Indicates that some form of harm, loss, or deterioration has taken place as a result of an event or action.
-
E.
damagedWorkBy
Indicates that one entity has caused harm, impairment, or destruction to a work created by 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:32 p.m.