Triple

T14085841
Position Surface form Disambiguated ID Type / Status
Subject Great American Financial Resources E338992 entity
Predicate alternateName P39 FINISHED
Object GAFRI
GAFRI is a U.S.-based financial services company specializing in life insurance, annuities, and related retirement products.
 E1080878 NE FINISHED

How this triple was built (4 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: GAFRI | Statement: [Great American Financial Resources, alternateName, GAFRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAFRI
Context triple: [Great American Financial Resources, alternateName, GAFRI]
  • A. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • B. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • C. GFA
    GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
  • D. GIFAS
    GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
  • E. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: GAFRI
Triple: [Great American Financial Resources, alternateName, GAFRI]
Generated description
GAFRI is a U.S.-based financial services company specializing in life insurance, annuities, and related retirement products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAFRI
Target entity description: GAFRI is a U.S.-based financial services company specializing in life insurance, annuities, and related retirement products.
  • A. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • B. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • C. GFA
    GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
  • D. GIFAS
    GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
  • E. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • F. None of above. chosen

Provenance (5 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2ae45108190b1f400e4ae16a258 completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:21 p.m.