Triple
T29523317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Grant |
E748994
|
entity |
| Predicate | methodOfInfection |
P73776
|
FINISHED |
| Object | impalement by alien dart |
—
|
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: impalement by alien dart | Statement: [Grant Grant, methodOfInfection, impalement by alien dart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfInfection Context triple: [Grant Grant, methodOfInfection, impalement by alien dart]
-
A.
infectionMethod
chosen
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
B.
methodOfInfiltration
Indicates the specific technique or approach used to secretly gain access to or penetrate a target, system, or organization.
-
C.
methodOfInvasion
Indicates the specific way or technique by which an invasion is carried out.
-
D.
modeOfTransmission
Indicates the method or pathway through which something, typically a disease or information, is passed from one source to another.
-
E.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 4:43 p.m.