Triple
T7895124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILOVEYOU worm |
E183324
|
entity |
| Predicate | yearOfMajorOutbreak |
P56456
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [ILOVEYOU worm, yearOfMajorOutbreak, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorOutbreak Context triple: [ILOVEYOU worm, yearOfMajorOutbreak, 2000]
-
A.
yearOfOutbreak
chosen
Indicates the specific calendar year in which an outbreak began or was first identified.
-
B.
timePeriodOfMajorOutbreak
Indicates the time span during which a major outbreak occurred or was most active.
-
C.
outbreakEndYear
Indicates the calendar year in which a particular outbreak is considered to have ended.
-
D.
majorCrisisYear
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
E.
plagueYears
Indicates that the referenced time period corresponds to years during which a plague or widespread epidemic was actively occurring or significantly impacting the entities involved.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.