Triple

T4511295
Position Surface form Disambiguated ID Type / Status
Subject J. Dallas Dort E102059 entity
Predicate familyName P18 FINISHED
Object Dort
Dort is a surname of likely Germanic origin associated with individuals such as American industrialist and automobile pioneer J. Dallas Dort.
 E448789 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: Dort | Statement: [J. Dallas Dort, familyName, Dort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dort
Context triple: [J. Dallas Dort, familyName, Dort]
  • A. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • D. Telde
    Telde is a historic city and municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its archaeological sites, old town, and coastal areas.
  • E. Dorra
    Dorra is a small settlement located in Djibouti’s Tadjourah Region, known for its arid landscape and proximity to the country’s northern highlands.
  • 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: Dort
Triple: [J. Dallas Dort, familyName, Dort]
Generated description
Dort is a surname of likely Germanic origin associated with individuals such as American industrialist and automobile pioneer J. Dallas Dort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dort
Target entity description: Dort is a surname of likely Germanic origin associated with individuals such as American industrialist and automobile pioneer J. Dallas Dort.
  • A. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Wadska
    Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
  • D. Telde
    Telde is a historic city and municipality on the island of Gran Canaria in Spain’s Canary Islands, known for its archaeological sites, old town, and coastal areas.
  • E. Dorra
    Dorra is a small settlement located in Djibouti’s Tadjourah Region, known for its arid landscape and proximity to the country’s northern highlands.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f875c4c81909e67d44b605816c2 completed March 20, 2026, 5:10 p.m.
NEDg Description generation batch_69bd802c09108190a21b2235710a0f74 completed March 20, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_69bd84c11d8881908819b36669dee7b5 completed March 20, 2026, 5:32 p.m.
Created at: March 20, 2026, 1:01 p.m.