Triple

T18044184
Position Surface form Disambiguated ID Type / Status
Subject Fama–French three-factor model E431728 entity
Predicate riskFreeRateRole P129588 FINISHED
Object used as baseline to compute excess returns 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: used as baseline to compute excess returns | Statement: [Fama–French three-factor model, riskFreeRateRole, used as baseline to compute excess returns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskFreeRateRole
Context triple: [Fama–French three-factor model, riskFreeRateRole, used as baseline to compute excess returns]
  • A. riskRequirement
    Indicates that one entity specifies or imposes a required level or type of risk consideration that another entity must meet or address.
  • B. riskBased
    Indicates that something is determined, prioritized, or managed according to the level or assessment of risk involved.
  • C. riskBasis
    Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
  • D. riskManagedBy
    Indicates that the potential or identified risk is controlled, mitigated, or overseen through the actions, policies, or responsibilities of a specified managing entity.
  • E. riskMeasure
    Indicates a quantitative assessment of the level of risk associated with an entity, event, or situation.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff13f488190993445769551c9c2 completed April 19, 2026, 11:43 a.m.
PD Predicate disambiguation batch_69e3f908da508190a088aa837ea5b7af completed April 18, 2026, 9:35 p.m.
PDg Predicate description generation batch_69e42d8eefa88190a700c7c1b4213e46 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:25 a.m.