Triple

T6303225
Position Surface form Disambiguated ID Type / Status
Subject Ryne E141305 entity
Predicate hasSpellingVariant P457 FINISHED
Object Raine
Raine is a given name used as a spelling variant of the name Ryne.
E584449 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: Raine | Statement: [Ryne, hasSpellingVariant, Raine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raine
Context triple: [Ryne, hasSpellingVariant, Raine]
  • A. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Mia
    Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
  • 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: Raine
Triple: [Ryne, hasSpellingVariant, Raine]
Generated description
Raine is a given name used as a spelling variant of the name Ryne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raine
Target entity description: Raine is a given name used as a spelling variant of the name Ryne.
  • A. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Mia
    Mia is a feminine given name used in many cultures, often as a short form of names like Maria or Amelia.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645e150881908b49a07914dcbfd8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e43e085081908546fa120a43bf84 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e69033cc8190a4c3f88993620754 completed March 27, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69c5e73595288190a8c0696d7c1dc887 completed March 27, 2026, 2:11 a.m.
Created at: March 22, 2026, 4:27 p.m.