Triple

T4301041
Position Surface form Disambiguated ID Type / Status
Subject Dagmar E99835 entity
Predicate hasVariantForm P457 FINISHED
Object Dagmaer
Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
 E428670 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: Dagmaer | Statement: [Dagmar, hasVariantForm, Dagmaer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dagmaer
Context triple: [Dagmar, hasVariantForm, Dagmaer]
  • A. Magor
    Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
  • B. Damogran
    Damogran is a remote, sparsely inhabited planet in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," notable as the secret construction site of the revolutionary starship Heart of Gold.
  • C. Grimus
    Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
  • D. Znarok
    Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
  • E. Shogran
    Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
  • 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: Dagmaer
Triple: [Dagmar, hasVariantForm, Dagmaer]
Generated description
Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dagmaer
Target entity description: Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • A. Magor
    Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
  • B. Damogran
    Damogran is a remote, sparsely inhabited planet in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," notable as the secret construction site of the revolutionary starship Heart of Gold.
  • C. Grimus
    Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
  • D. Znarok
    Znarok is the surname of Oleg Znarok, a prominent Russian-Latvian ice hockey coach and former player.
  • E. Shogran
    Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74d59688190820cef42c4228a3a completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7bd187c8190b79894c864ea5b19 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c88035dc8190beacf43974a29c78 completed March 14, 2026, 8:43 p.m.
Created at: March 12, 2026, 11:08 p.m.