Triple

T3276805
Position Surface form Disambiguated ID Type / Status
Subject Tatyana E68776 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Tania
Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
 E345642 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: Tania | Statement: [Tatyana, hasDiminutiveForm, Tania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tania
Context triple: [Tatyana, hasDiminutiveForm, Tania]
  • A. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • D. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • E. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • 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: Tania
Triple: [Tatyana, hasDiminutiveForm, Tania]
Generated description
Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tania
Target entity description: Tania is a feminine given name commonly used as a diminutive or variant of names like Tatyana or Tatiana.
  • A. Tina
    Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
  • B. Tina
    Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
  • C. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • D. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • E. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3c764548190ac3c90da3763ac62 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2fa431f4c819088c6e0afd4f2f774 completed March 12, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2fe1d4f9c8190a8d4f1206c551671 completed March 12, 2026, 5:55 p.m.
Created at: March 8, 2026, 3:10 p.m.