Triple

T9167678
Position Surface form Disambiguated ID Type / Status
Subject John Wesley Longyear E220002 entity
Predicate familyName P18 FINISHED
Object Longyear
Longyear is a surname most notably associated with American politician and jurist John Wesley Longyear.
 E782362 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: Longyear | Statement: [John Wesley Longyear, familyName, Longyear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Longyear
Context triple: [John Wesley Longyear, familyName, Longyear]
  • A. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • B. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Kopervik
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • E. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • 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: Longyear
Triple: [John Wesley Longyear, familyName, Longyear]
Generated description
Longyear is a surname most notably associated with American politician and jurist John Wesley Longyear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Longyear
Target entity description: Longyear is a surname most notably associated with American politician and jurist John Wesley Longyear.
  • A. Howden
    Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
  • B. Howden
    Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Kopervik
    Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
  • E. Storlien
    Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05491ccec819093fcf2d764c5381b completed April 4, 2026, midnight
NEDg Description generation batch_69d05628d8708190a85437c5051a5a05 completed April 4, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69d056e4ad98819086e73edf15aa6210 completed April 4, 2026, 12:10 a.m.
Created at: March 30, 2026, 7:22 p.m.