Triple

T20221412
Position Surface form Disambiguated ID Type / Status
Subject Janina Gavankar E495262 entity
Predicate givenName P17 FINISHED
Object Janina
Janina is a feminine given name used in various cultures, often as a variant of Janine or Johanna.
 E1417386 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: Janina | Statement: [Janina Gavankar, givenName, Janina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Janina
Context triple: [Janina Gavankar, givenName, Janina]
  • A. Niedzica
    Niedzica is a village in southern Poland known for its historic castle overlooking the Czorsztyn Lake in the Pieniny Mountains.
  • B. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • C. Žarow
    Žarow is the Lower Sorbian name for the town of Sorau (now Żary) in western Poland, historically part of Lusatia.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Ania
    Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
  • 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: Janina
Triple: [Janina Gavankar, givenName, Janina]
Generated description
Janina is a feminine given name used in various cultures, often as a variant of Janine or Johanna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Janina
Target entity description: Janina is a feminine given name used in various cultures, often as a variant of Janine or Johanna.
  • A. Niedzica
    Niedzica is a village in southern Poland known for its historic castle overlooking the Czorsztyn Lake in the Pieniny Mountains.
  • B. Poniatowa
    Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
  • C. Žarow
    Žarow is the Lower Sorbian name for the town of Sorau (now Żary) in western Poland, historically part of Lusatia.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Ania
    Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd610f881908fdd22b1f8bd2efc completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843f9c2dc8190836f1a5fe2b97b80 completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844a1f6988190bbab91201b2a0d7e completed May 16, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0845700ec48190bb59acff92e4e616 completed May 16, 2026, 10:22 a.m.
Created at: April 11, 2026, 11:39 p.m.