Triple
T31850828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeant Pharmaceuticals |
E813059
|
entity |
| Predicate | timePeriodOfMajorControversy |
P28865
|
FINISHED |
| Object | early 2010s to late 2010s |
—
|
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: early 2010s to late 2010s | Statement: [Valeant Pharmaceuticals, timePeriodOfMajorControversy, early 2010s to late 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfMajorControversy Context triple: [Valeant Pharmaceuticals, timePeriodOfMajorControversy, early 2010s to late 2010s]
-
A.
timeOfMajorDebate
Indicates the specific time at which a major debate takes place or is scheduled.
-
B.
conflictPeriod
chosen
Indicates the time span during which a particular conflict or dispute is occurring or in effect between the related entities.
-
C.
controversialAtTimeOfPublication
Indicates that something was the subject of significant disagreement, debate, or public dispute at the time it was originally published.
-
D.
controversialAtTimeOfProposal
Indicates that the proposal was subject to significant disagreement, debate, or public dispute at the time it was put forward.
-
E.
timePeriodOfMajorMilitaryActivity
Indicates the time span during which the primary or most significant military operations associated with an entity took place.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 30, 2026, 11:51 p.m.