Triple

T9715324
Position Surface form Disambiguated ID Type / Status
Subject Edwin Alderson E235127 entity
Predicate familyName P18 FINISHED
Object Alderson
Alderson is a surname of English origin borne by various notable individuals across military, scientific, and cultural fields.
E815929 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: Alderson | Statement: [Edwin Alderson, familyName, Alderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alderson
Context triple: [Edwin Alderson, familyName, Alderson]
  • A. 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.
  • B. Halliford
    Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
  • C. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • 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: Alderson
Triple: [Edwin Alderson, familyName, Alderson]
Generated description
Alderson is a surname of English origin borne by various notable individuals across military, scientific, and cultural fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alderson
Target entity description: Alderson is a surname of English origin borne by various notable individuals across military, scientific, and cultural fields.
  • A. 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.
  • B. Halliford
    Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
  • C. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • F. None of above. chosen

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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f941b908190a3e27f4b6c1b3535 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a00eafc08190a2be7684fd7e9320 completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a072e08c8190a3beaf1219fa850f completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 8:20 p.m.