Triple

T18312885
Position Surface form Disambiguated ID Type / Status
Subject Anna-Lisa Hansson E438673 entity
Predicate givenName P17 FINISHED
Object Anna-Lisa
Anna-Lisa is a feminine given name, commonly used in Scandinavian countries, that combines the names Anna and Lisa.
E1318041 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: Anna-Lisa | Statement: [Anna-Lisa Hansson, givenName, Anna-Lisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna-Lisa
Context triple: [Anna-Lisa Hansson, givenName, Anna-Lisa]
  • A. Anna-Maria
    Anna-Maria is the given name of Nannette Streicher, a noted Viennese piano maker and close associate of Ludwig van Beethoven.
  • B. Annelise
    Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
  • C. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • D. Mary Lisio
    Mary Lisio is a film and television producer known for her work on high-profile music and documentary projects, including the Clive Davis documentary "The Soundtrack of Our Lives."
  • E. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • 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: Anna-Lisa
Triple: [Anna-Lisa Hansson, givenName, Anna-Lisa]
Generated description
Anna-Lisa is a feminine given name, commonly used in Scandinavian countries, that combines the names Anna and Lisa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna-Lisa
Target entity description: Anna-Lisa is a feminine given name, commonly used in Scandinavian countries, that combines the names Anna and Lisa.
  • A. Anna-Maria
    Anna-Maria is the given name of Nannette Streicher, a noted Viennese piano maker and close associate of Ludwig van Beethoven.
  • B. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • C. Annelise
    Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
  • D. Mary Lisio
    Mary Lisio is a film and television producer known for her work on high-profile music and documentary projects, including the Clive Davis documentary "The Soundtrack of Our Lives."
  • E. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021a96b48190976273be3ff3e5c6 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4bf498c8190ba7ba700ab643c9a completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c592f7d0819082d600901da2c2f6 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 10, 2026, 10:36 a.m.