Triple

T13716602
Position Surface form Disambiguated ID Type / Status
Subject Vera E328915 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Verusha
Verusha is a diminutive, affectionate form of the given name Vera, commonly used in Slavic languages.
E1058237 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: Verusha | Statement: [Vera, hasDiminutiveForm, Verusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verusha
Context triple: [Vera, hasDiminutiveForm, Verusha]
  • A. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • B. Roxanna
    Roxanna is a feminine given name of Persian origin, commonly interpreted to mean "dawn" or "bright."
  • C. Sorsha
    Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
  • D. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • E. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • 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: Verusha
Triple: [Vera, hasDiminutiveForm, Verusha]
Generated description
Verusha is a diminutive, affectionate form of the given name Vera, commonly used in Slavic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verusha
Target entity description: Verusha is a diminutive, affectionate form of the given name Vera, commonly used in Slavic languages.
  • A. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • B. Roxanna
    Roxanna is a feminine given name of Persian origin, commonly interpreted to mean "dawn" or "bright."
  • C. Sorsha
    Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
  • D. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • E. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e9e6ff88190b031fb1403cacabc completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2d6e7ec81908a4cbc324e793c24 completed May 3, 2026, 7:32 p.m.
Created at: April 9, 2026, 9:54 p.m.