Triple

T15945032
Position Surface form Disambiguated ID Type / Status
Subject Hamer E386662 entity
Predicate hasAlternativeName P39 FINISHED
Object Hamer-Bana E386662 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: Hamer-Bana | Statement: [Hamer, hasAlternativeName, Hamer-Bana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamer-Bana
Context triple: [Hamer, hasAlternativeName, Hamer-Bana]
  • A. Hamer
    Hamer is the surname of Fannie Lou Hamer, the prominent American civil rights activist and voting rights leader.
  • B. Hamer chosen
    Hamer is an Omotic language spoken primarily by the Hamer people of southwestern Ethiopia.
  • C. The Hammer
    The Hammer is a popular nickname for the Canadian city of Hamilton, Ontario, reflecting its gritty, industrial character and strong working-class identity.
  • D. The Hammer
    The Hammer is the nickname of Hank Aaron, the legendary Major League Baseball slugger who broke Babe Ruth’s career home run record.
  • E. The Hammer
    The Hammer is the nickname of mixed martial artist and former UFC champion Matt Hamilton, known for his powerful striking style.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.