Triple

T15977784
Position Surface form Disambiguated ID Type / Status
Subject Edward Alderson E387492 entity
Predicate familyName P18 FINISHED
Object Alderson E815929 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: Alderson | Statement: [Edward Alderson, familyName, Alderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alderson
Context triple: [Edward Alderson, familyName, Alderson]
  • A. Alderson chosen
    Alderson is a surname of English origin borne by various notable individuals across military, scientific, and cultural fields.
  • B. Alderson, West Virginia
    Alderson, West Virginia is a small town in southern West Virginia known for its historic downtown along the Greenbrier River and for hosting one of the state’s largest Fourth of July celebrations.
  • C. Halliford
    Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
  • D. Knowlton
    Knowlton is an English surname borne by various notable figures, including military officers, politicians, and academics.
  • E. Knowlton
    Knowlton is a small unincorporated rural community located in Ringgold County, Iowa.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c76c988190a2f2bb4b6ac5ef25 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.