Triple
T27756110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Letter worm |
E701335
|
entity |
| Predicate | timeToGlobalSpread |
P135773
|
FINISHED |
| Object | approximately one day |
—
|
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: approximately one day | Statement: [Love Letter worm, timeToGlobalSpread, approximately one day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToGlobalSpread Context triple: [Love Letter worm, timeToGlobalSpread, approximately one day]
-
A.
timeOfViralSpread
chosen
Indicates the specific time period during which a virus spreads or is transmitted.
-
B.
spreadingStatus
Indicates the current state or progression of how something is spreading or being disseminated (e.g., whether and how it is expanding, stable, or declining).
-
C.
timeScatteredAcross
Indicates that instances or occurrences of something are distributed over multiple, non-contiguous points in time rather than concentrated in a single continuous period.
-
D.
spreadTo
Indicates that something extends, propagates, or is transmitted from one entity, location, or context to another.
-
E.
peakGlobalPrevalencePeriod
Indicates the time period during which a condition, phenomenon, or attribute reaches its highest global prevalence.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63760b350819088f0eca0257ca125 |
completed | May 2, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:23 p.m.