Triple

T16391470
Position Surface form Disambiguated ID Type / Status
Subject William Herbert Hunt E398061 entity
Predicate hasFinancialEvent P81128 FINISHED
Object losses after 1980 silver price collapse 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: losses after 1980 silver price collapse | Statement: [William Herbert Hunt, hasFinancialEvent, losses after 1980 silver price collapse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFinancialEvent
Context triple: [William Herbert Hunt, hasFinancialEvent, losses after 1980 silver price collapse]
  • A. economicEvent chosen
    Indicates an occurrence involving economic activities or transactions that affect the production, distribution, or consumption of goods, services, or financial resources.
  • B. hasCorporateActionsOn
    Indicates that one entity performs, records, or is associated with corporate actions (such as dividends, splits, or mergers) that affect another entity.
  • C. hasCorporateActionHistory
    Indicates that an entity is associated with a record or sequence of past corporate actions or events that have affected it.
  • D. significantEventInvolves
    Indicates that a significant event includes or engages a particular entity as a participant or key element.
  • E. notableTransaction
    Indicates that a transaction between entities is significant or noteworthy in context, such as being unusually large, important, or otherwise exceptional.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326425c8081908cacffcfa8c7386b completed April 18, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69e226f94dd48190b7b8e0e983738a67 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.