Triple

T16629352
Position Surface form Disambiguated ID Type / Status
Subject Lee Phillip Bell E404034 entity
Predicate familyName P18 FINISHED
Object Bell
Bell is a common English surname borne by numerous notable individuals across fields such as entertainment, science, and sports.
 E44555 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: Bell | Statement: [Lee Phillip Bell, familyName, Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bell
Context triple: [Lee Phillip 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
    Bell was an American record label imprint used as a catalog number prefix for releases on Bell Records.
  • 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: Bell
Triple: [Lee Phillip Bell, familyName, Bell]
Generated description
Bell is a common English surname borne by numerous notable individuals across fields such as entertainment, science, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bell
Target entity description: Bell is a common English surname borne by numerous notable individuals across fields such as entertainment, science, and sports.
  • A. Bell chosen
    Bell is a common English surname notably associated with inventor Alexander Graham Bell, pioneer of the telephone.
  • B. Bell
    Bell is a major Canadian telecommunications company providing phone, internet, television, and wireless services nationwide.
  • C. Bell
    Bell was an American record label imprint used as a catalog number prefix for releases on Bell Records.
  • D. 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.
  • E. Bell
    Bell is a small rural town in Queensland, Australia, known for its agricultural surroundings and close-knit community within the Western Downs Region.
  • F. None of above.

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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e4db5081908a6085f1bc2d65b8 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a0081baf8188190be95383ffe68fbb8 completed May 10, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a008239a5348190aea3820cf8a7d3f6 completed May 10, 2026, 1:03 p.m.
Created at: April 10, 2026, 5:17 a.m.