Triple

T36126249
Position Surface form Disambiguated ID Type / Status
Subject Vikings: Valhalla E1044886 entity
Predicate stars P1956 FINISHED
Object Frida Gustavsson
Frida Gustavsson is a Swedish model-turned-actress best known for her leading role as the warrior Freydís Eiríksdóttir in the historical drama series "Vikings: Valhalla."
E2171246 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: Frida Gustavsson | Statement: [Vikings: Valhalla, stars, Frida Gustavsson]
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: Frida Gustavsson
Triple: [Vikings: Valhalla, stars, Frida Gustavsson]
Generated description
Frida Gustavsson is a Swedish model-turned-actress best known for her leading role as the warrior Freydís Eiríksdóttir in the historical drama series "Vikings: Valhalla."

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_69f76e356c908190abc6ca1e6a05b011 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2f7679c8190b7894c32d915ac3a completed May 3, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d3ffd38819086ca884737c884fb completed June 22, 2026, 10:24 a.m.
NEDg Description generation batch_6a390dd6ff808190bdd0b30b261092f5 completed June 22, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a390f2d062481908c4789fba5096e69 completed June 22, 2026, 10:32 a.m.
Created at: May 3, 2026, 4:08 p.m.