Triple

T16267441
Position Surface form Disambiguated ID Type / Status
Subject Martin Bell E394909 entity
Predicate familyName P18 FINISHED
Object Bell E44555 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: Bell | Statement: [Martin Bell, familyName, Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell
Context triple: [Martin Bell, familyName, Bell]
  • A. Bell
    Bell is a small, predominantly working-class city in southeastern Los Angeles County, California, known for its location in the Gateway Cities region and past municipal corruption scandals.
  • B. Bell
    Bell is a suburban railway station in Melbourne, Australia, serving the Mernda line in the city’s northern suburbs.
  • C. Bell
    Bell is a major Canadian telecommunications company providing phone, internet, television, and wireless services nationwide.
  • D. Bell
    Bell is a small rural town in Queensland, Australia, known for its agricultural surroundings and close-knit community within the Western Downs Region.
  • E. Bell chosen
    Bell is a common English surname notably associated with inventor Alexander Graham Bell, pioneer of the telephone.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c963ec8190b059fecac6248cd9 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bb1d64819080f007656307f58b completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.