Triple
T4672295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbalife |
E103591
|
entity |
| Predicate | regulatoryAction |
P12442
|
FINISHED |
| Object | Federal Trade Commission settlement in the United States |
—
|
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: Federal Trade Commission settlement in the United States | Statement: [Herbalife, regulatoryAction, Federal Trade Commission settlement in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatoryAction Context triple: [Herbalife, regulatoryAction, Federal Trade Commission settlement in the United States]
-
A.
regulatoryResponse
Indicates a reaction, decision, or adjustment made by a regulatory body in response to a particular event, condition, or entity’s behavior.
-
B.
regulatoryOutcome
Indicates the result or consequence of a regulatory process, such as approval, rejection, modification, or other formal decision made by a regulatory authority regarding an entity or action.
-
C.
governmentAction
chosen
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
D.
regulationImpact
Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
-
E.
regulationAtIssue
Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.