Triple
T28391055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Prefetch |
E719155
|
entity |
| Predicate | forensicValue |
P103061
|
FINISHED |
| Object | evidence of program execution |
—
|
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: evidence of program execution | Statement: [Windows Prefetch, forensicValue, evidence of program execution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forensicValue Context triple: [Windows Prefetch, forensicValue, evidence of program execution]
-
A.
hasForensicElement
chosen
Indicates that something includes, involves, or is characterized by a forensic component, aspect, or feature.
-
B.
forgeryProbability
Indicates the likelihood that an item, document, or representation is forged or not authentic.
-
C.
DNAAnalysis
Indicates that one entity performs or undergoes the examination and interpretation of DNA from another entity or source.
-
D.
isFabricated
Indicates that something has been artificially made, constructed, or invented rather than naturally occurring or genuinely existing.
-
E.
fingerprintSHA256
Indicates that one entity is the SHA-256 fingerprint (cryptographic hash identifier) of another entity.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64cec950881909d89fd56511514a2 |
completed | May 2, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:13 a.m.