Triple

T2995150
Position Surface form Disambiguated ID Type / Status
Subject Langdon E81047 entity
Predicate hasSpellingVariant P457 FINISHED
Object Langden
Langden is an alternative spelling variant of the name Langdon, typically used as a surname or place name.
 E315693 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: Langden | Statement: [Langdon, hasSpellingVariant, Langden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langden
Context triple: [Langdon, hasSpellingVariant, Langden]
  • A. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • B. Lydney
    Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
  • C. Yattendon
    Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
  • D. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • E. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • 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: Langden
Triple: [Langdon, hasSpellingVariant, Langden]
Generated description
Langden is an alternative spelling variant of the name Langdon, typically used as a surname or place name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langden
Target entity description: Langden is an alternative spelling variant of the name Langdon, typically used as a surname or place name.
  • A. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • B. Lydney
    Lydney is a small town in southwest England situated on the River Severn near the Forest of Dean.
  • C. Yattendon
    Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
  • D. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • E. Delaford
    Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10908cfe48190bf244d5a3dbc958b completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10ab5e3488190b2d8c98dd296cbe5 completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10b1664f081909b521ee8dd5954f9 completed March 11, 2026, 6:26 a.m.
Created at: March 8, 2026, 2:59 p.m.