Triple

T3097318
Position Surface form Disambiguated ID Type / Status
Subject Caterina E64628 entity
Predicate hasVariant P455 FINISHED
Object Caterin
Caterin is a given name, typically used as a variant or shortened form of the name Caterina.
 E328178 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: Caterin | Statement: [Caterina, hasVariant, Caterin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caterin
Context triple: [Caterina, hasVariant, Caterin]
  • A. Brienne of Tarth
    Brienne of Tarth is a formidable and honor-bound warrior noblewoman from the A Song of Ice and Fire novels and the Game of Thrones television series.
  • B. Baelen
    Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
  • C. Arya Stark
    Arya Stark is a fiercely independent and skilled young assassin from House Stark, known for her quest for vengeance and survival throughout the Game of Thrones saga.
  • D. Perrin
    Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
  • E. Alys
    Alys is a feminine given name, often used as a variant of Alice in English-speaking contexts.
  • 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: Caterin
Triple: [Caterina, hasVariant, Caterin]
Generated description
Caterin is a given name, typically used as a variant or shortened form of the name Caterina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caterin
Target entity description: Caterin is a given name, typically used as a variant or shortened form of the name Caterina.
  • A. Brienne of Tarth
    Brienne of Tarth is a formidable and honor-bound warrior noblewoman from the A Song of Ice and Fire novels and the Game of Thrones television series.
  • B. Baelen
    Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
  • C. Arya Stark
    Arya Stark is a fiercely independent and skilled young assassin from House Stark, known for her quest for vengeance and survival throughout the Game of Thrones saga.
  • D. Perrin
    Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
  • E. Alys
    Alys is a feminine given name, often used as a variant of Alice in English-speaking contexts.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20378a1488190bd0fa7d3f4639220 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2051868048190b197646d452df8e9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2094564e881909274bb34be922166 completed March 12, 2026, 12:31 a.m.
Created at: March 8, 2026, 3:03 p.m.