Triple

T2026362
Position Surface form Disambiguated ID Type / Status
Subject Erika Mann E44416 entity
Predicate givenName P17 FINISHED
Object Erika
Erika is a feminine given name of German origin, borne by numerous notable figures including writer and actress Erika Mann.
 E226581 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: Erika | Statement: [Erika Mann, givenName, Erika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erika
Context triple: [Erika Mann, givenName, Erika]
  • A. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • B. Oona
    Oona O’Neill was an American socialite and actress best known as the fourth wife of legendary filmmaker Charlie Chaplin and the daughter of playwright Eugene O’Neill.
  • C. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • 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: Erika
Triple: [Erika Mann, givenName, Erika]
Generated description
Erika is a feminine given name of German origin, borne by numerous notable figures including writer and actress Erika Mann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erika
Target entity description: Erika is a feminine given name of German origin, borne by numerous notable figures including writer and actress Erika Mann.
  • A. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • B. Oona
    Oona O’Neill was an American socialite and actress best known as the fourth wife of legendary filmmaker Charlie Chaplin and the daughter of playwright Eugene O’Neill.
  • C. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afc9e3c8190a045ef1c987c4141 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0d524a048190ac290b0a9939d2bf completed March 8, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69ae0dbf06008190b595de89f17c0104 completed March 9, 2026, 12:01 a.m.
Created at: March 4, 2026, 7:38 p.m.