Triple

T4002490
Position Surface form Disambiguated ID Type / Status
Subject Asa Griggs Candler E89446 entity
Predicate fullName P16 FINISHED
Object Asa Griggs Candler E89446 NE 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: Asa Griggs Candler | Statement: [Asa Griggs Candler, fullName, Asa Griggs Candler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asa Griggs Candler
Context triple: [Asa Griggs Candler, fullName, Asa Griggs Candler]
  • A. Asa Griggs Candler chosen
    Asa Griggs Candler was an American businessman and philanthropist best known for transforming Coca-Cola into a global brand and serving as the mayor of Atlanta.
  • B. C. W. Post
    C. W. Post was an American industrialist and breakfast cereal pioneer who founded the Postum Cereal Company, a forerunner of Post Consumer Brands.
  • C. Armand Hammer
    Armand Hammer was an American industrialist and longtime head of Occidental Petroleum, known for his extensive business dealings with the Soviet Union and prominent art collecting.
  • D. John Kellogg
    John Kellogg was an American character actor known for his supporting roles in mid-20th-century films and television.
  • E. Luther Hanes
    Luther Hanes is a music producer best known for his work on Beyoncé’s debut solo album "Dangerously in Love."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa44125881909f45ecd0a986c581 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c5e95b88190a8b5234b18d7b769 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.