Triple

T23523577
Position Surface form Disambiguated ID Type / Status
Subject Aldona of Lithuania E574571 entity
Predicate givenName P17 FINISHED
Object Aldona
Aldona is a feminine given name of Lithuanian origin historically associated with Lithuanian nobility.
 E1590346 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: Aldona | Statement: [Aldona of Lithuania, givenName, Aldona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aldona
Context triple: [Aldona of Lithuania, givenName, Aldona]
  • A. Aldona
    Aldona is a scenic riverside village in North Goa, India, known for its lush landscapes, historic churches, and traditional Goan charm.
  • B. Jolanta
    Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
  • C. Vaida
    Vaida is a small settlement located in Rae Parish in northern Estonia.
  • D. Laima
    Laima is a major Baltic goddess associated with fate, luck, and childbirth in traditional Latvian and Lithuanian mythology.
  • E. Vestiena
    Vestiena is a village in eastern Latvia known for its scenic rural landscape and location within Madona Municipality.
  • 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: Aldona
Triple: [Aldona of Lithuania, givenName, Aldona]
Generated description
Aldona is a feminine given name of Lithuanian origin historically associated with Lithuanian nobility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aldona
Target entity description: Aldona is a feminine given name of Lithuanian origin historically associated with Lithuanian nobility.
  • A. Aldona
    Aldona is a scenic riverside village in North Goa, India, known for its lush landscapes, historic churches, and traditional Goan charm.
  • B. Jolanta
    Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
  • C. Vaida
    Vaida is a small settlement located in Rae Parish in northern Estonia.
  • D. Laima
    Laima is a major Baltic goddess associated with fate, luck, and childbirth in traditional Latvian and Lithuanian mythology.
  • E. Vestiena
    Vestiena is a village in eastern Latvia known for its scenic rural landscape and location within Madona Municipality.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1ac71ec8881909bfb706efdc2518f completed April 29, 2026, 7 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf5013b88190a1ff302a259fc707 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce0ed1cb881909a1ce386d406b824 completed May 19, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce1a37b288190b4e9775e8be23ea9 completed May 19, 2026, 10:18 p.m.
Created at: April 17, 2026, 6:09 p.m.