Triple

T7268412
Position Surface form Disambiguated ID Type / Status
Subject Anna E161036 entity
Predicate hasDiminutive P456 FINISHED
Object 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.
E652915 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: Ania | Statement: [Anna, hasDiminutive, Ania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ania
Context triple: [Anna, hasDiminutive, Ania]
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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: Ania
Triple: [Anna, hasDiminutive, Ania]
Generated description
Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ania
Target entity description: Ania is a common Polish diminutive form of the female given name Anna, often used as an affectionate or familiar version of the name.
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae8cc288190bc3ae3c7b38980d0 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1e4f9c8190a23ce5a35073b7c7 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbd350a08190aa34ada9ba8d39ce completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:58 p.m.