Triple

T14663815
Position Surface form Disambiguated ID Type / Status
Subject Matilda E344311 entity
Predicate hasVariant P455 FINISHED
Object Matylda
Matylda is a feminine given name, commonly used in Central and Eastern Europe, that is a variant of the name Matilda.
E1112745 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: Matylda | Statement: [Matilda, hasVariant, Matylda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matylda
Context triple: [Matilda, hasVariant, Matylda]
  • A. Magda
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • B. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • C. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • D. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • E. Maryna
    Maryna is a feminine given name, commonly used in Slavic countries as a variant of Marina.
  • 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: Matylda
Triple: [Matilda, hasVariant, Matylda]
Generated description
Matylda is a feminine given name, commonly used in Central and Eastern Europe, that is a variant of the name Matilda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matylda
Target entity description: Matylda is a feminine given name, commonly used in Central and Eastern Europe, that is a variant of the name Matilda.
  • A. Magda
    Magda is a feminine given name, commonly used as a short form of Magdalena in various European languages.
  • B. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • C. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • D. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • E. Maryna
    Maryna is a feminine given name, commonly used in Slavic countries as a variant of Marina.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ae5ac81908cc69891f280e5f7 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e4789481909a64622a1d284373 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd9b5d7988190927e88feef6a972f completed May 8, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69fddaa56f4c8190ba56af6a7a56a201 completed May 8, 2026, 12:44 p.m.
Created at: April 10, 2026, 1:27 a.m.