Triple
T31850817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeant Pharmaceuticals |
E813059
|
entity |
| Predicate | marketCapitalizationTrend |
P178841
|
FINISHED |
| Object | sharp decline after 2015 |
—
|
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: sharp decline after 2015 | Statement: [Valeant Pharmaceuticals, marketCapitalizationTrend, sharp decline after 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketCapitalizationTrend Context triple: [Valeant Pharmaceuticals, marketCapitalizationTrend, sharp decline after 2015]
-
A.
marketCapRank
Indicates the relative position of an entity in terms of its market capitalization compared to other entities.
-
B.
marketCapSegment
Indicates the classification of an entity based on the size of its market capitalization (e.g., small-cap, mid-cap, large-cap).
-
C.
marketCapExposure
Indicates the degree to which an entity’s value, performance, or risk is influenced by the market capitalization of the assets or securities it is associated with.
-
D.
marketCapitalizationRange
Indicates the range within which an entity’s total market capitalization value falls.
-
E.
chainTrend
Indicates how a sequence of related items or events changes or progresses over time or along a chain.
- F. None of above. chosen
Provenance (4 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_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 30, 2026, 11:51 p.m.