Triple

T36170298
Position Surface form Disambiguated ID Type / Status
Subject Kenneth R. French E1046125 entity
Predicate hasResearchDataLibrary P102458 FINISHED
Object Kenneth R. French Data Library
The Kenneth R. French Data Library is a widely used online repository of historical financial and factor data for academic and professional asset pricing and portfolio research.
 E2171982 NE FINISHED

How this triple was built (3 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: Kenneth R. French Data Library | Statement: [Kenneth R. French, hasResearchDataLibrary, Kenneth R. French Data Library]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kenneth R. French Data Library
Triple: [Kenneth R. French, hasResearchDataLibrary, Kenneth R. French Data Library]
Generated description
The Kenneth R. French Data Library is a widely used online repository of historical financial and factor data for academic and professional asset pricing and portfolio research.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasResearchDataLibrary
Context triple: [Kenneth R. French, hasResearchDataLibrary, Kenneth R. French Data Library]
  • A. hasResearchCollections chosen
    Indicates that an entity maintains or possesses organized sets of research materials or collections.
  • B. hasResearchAccess
    Indicates that an entity is permitted to access specific research resources, data, or environments.
  • C. hasResearchValueIn
    Indicates that something possesses significance, usefulness, or potential contribution within a specified research area, context, or domain.
  • D. isMajorResearchLibraryFor
    Indicates that an institution serves as a primary, large-scale research library resource for a particular organization, community, or domain.
  • E. hasResearchUse
    Indicates that an entity is used for, or associated with, conducting research activities or purposes.
  • F. None of above.

Provenance (6 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_69f76e396bc88190b99d221bff9be27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d5acdb481909ebf60828e799ad7 completed June 22, 2026, 10:24 a.m.
NEDg Description generation batch_6a390e3d07e48190b3869fa5138dd840 completed June 22, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a390f4f8d848190b72143928c888b70 completed June 22, 2026, 10:32 a.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:08 p.m.