Triple

T6139155
Position Surface form Disambiguated ID Type / Status
Subject Gotthard E136913 entity
Predicate hasVariant P455 FINISHED
Object Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
 E570753 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: Godehart | Statement: [Gotthard, hasVariant, Godehart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Godehart
Context triple: [Gotthard, hasVariant, Godehart]
  • A. Havelock
    Havelock is an English surname most notably associated with Sir Henry Havelock, a 19th-century British general known for his role in the Indian Rebellion of 1857.
  • B. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • C. Gillen
    Gillen is a small coastal settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • D. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • 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: Godehart
Triple: [Gotthard, hasVariant, Godehart]
Generated description
Godehart is a German given name, serving as a variant form of the name Gotthard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Godehart
Target entity description: Godehart is a German given name, serving as a variant form of the name Gotthard.
  • A. Havelock
    Havelock is an English surname most notably associated with Sir Henry Havelock, a 19th-century British general known for his role in the Indian Rebellion of 1857.
  • B. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • C. Gillen
    Gillen is a small coastal settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • D. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c855a2481909801de9fd55686a4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135ecd62c8190911b98133bf71dfc completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c13679dd58819099036d1119fa370b completed March 23, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69c1376db6a0819087c0d0aebc2e2b3e completed March 23, 2026, 12:51 p.m.
Created at: March 22, 2026, 4:15 p.m.