Triple

T27753705
Position Surface form Disambiguated ID Type / Status
Subject Katarina Taikon E701279 entity
Predicate knownFor P22 FINISHED
Object Katitzi book series
The Katitzi book series is a semi-autobiographical collection of children’s books by Swedish Romani author Katarina Taikon that portrays the childhood and struggles of a Romani girl facing discrimination in Sweden.
E1787401 NE FINISHED

How this triple was built (2 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: Katitzi book series | Statement: [Katarina Taikon, knownFor, Katitzi book series]
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: Katitzi book series
Triple: [Katarina Taikon, knownFor, Katitzi book series]
Generated description
The Katitzi book series is a semi-autobiographical collection of children’s books by Swedish Romani author Katarina Taikon that portrays the childhood and struggles of a Romani girl facing discrimination in Sweden.

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_69ef6a5193808190816eb7d0020b2d87 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6375ece288190bec1ca486bbd2f12 completed May 2, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e4834f8081909a18553e39711888 completed May 24, 2026, 11:44 a.m.
NEDg Description generation batch_6a12e5ee8f048190b98a89d0023e1eba completed May 24, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a12e695c82c81908646433dbbe85bfc completed May 24, 2026, 11:52 a.m.
Created at: April 27, 2026, 4:22 p.m.