Triple

T8997461
Position Surface form Disambiguated ID Type / Status
Subject Norman, Oklahoma E214953 entity
Predicate namedAfter P63 FINISHED
Object Abner Norman E214953 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: Abner Norman | Statement: [Norman, Oklahoma, namedAfter, Abner Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abner Norman
Context triple: [Norman, Oklahoma, namedAfter, Abner Norman]
  • A. Abner Norman chosen
    Abner Norman was an early settler and surveyor whose name was given to the city of Norman, Oklahoma.
  • B. Ewart Abner
    Ewart Abner was an influential American music industry executive best known for his leadership roles at pioneering independent labels like Vee-Jay Records and Motown Records.
  • C. Abner Nash
    Abner Nash was an American lawyer and politician who served as the second governor of North Carolina during the Revolutionary War era.
  • D. Abner Cook
    Abner Cook was a prominent 19th-century Texas architect and builder known for his influential Greek Revival designs in Austin and other parts of the state.
  • E. Abraham Anderson
    Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e0d3588190bdab0e2b86b09228 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.