Triple

T19755583
Position Surface form Disambiguated ID Type / Status
Subject Elfriede E474491 entity
Predicate hasVariantForm P457 FINISHED
Object Elfrida
Elfrida is a feminine given name of Old English origin, historically borne by medieval European noblewomen and occasionally used in modern times.
 E1394796 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: Elfrida | Statement: [Elfriede, hasVariantForm, Elfrida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elfrida
Context triple: [Elfriede, hasVariantForm, Elfrida]
  • A. Thilde
    Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
  • B. Gudrun Brangwen
    Gudrun Brangwen is a passionate, artistic, and emotionally volatile young woman in D. H. Lawrence’s novel "Women in Love," whose intense relationships and inner conflicts embody the book’s exploration of love, freedom, and destruction.
  • C. Fridwulfa
    Fridwulfa is a giantess from the Harry Potter series, best known as the mother of Rubeus Hagrid and the giant Grawp.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Hjördis
    Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
  • 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: Elfrida
Triple: [Elfriede, hasVariantForm, Elfrida]
Generated description
Elfrida is a feminine given name of Old English origin, historically borne by medieval European noblewomen and occasionally used in modern times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elfrida
Target entity description: Elfrida is a feminine given name of Old English origin, historically borne by medieval European noblewomen and occasionally used in modern times.
  • A. Thilde
    Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
  • B. Gudrun Brangwen
    Gudrun Brangwen is a passionate, artistic, and emotionally volatile young woman in D. H. Lawrence’s novel "Women in Love," whose intense relationships and inner conflicts embody the book’s exploration of love, freedom, and destruction.
  • C. Fridwulfa
    Fridwulfa is a giantess from the Harry Potter series, best known as the mother of Rubeus Hagrid and the giant Grawp.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Hjördis
    Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.