Triple

T24690410
Position Surface form Disambiguated ID Type / Status
Subject Klaus Mikaelson E611419 entity
Predicate sibling P363 FINISHED
Object Finn Mikaelson
Finn Mikaelson is one of the Original vampires from The Vampire Diaries/The Originals universe, known as the eldest Mikaelson brother with a strong disdain for his family's immortal existence.
E1700957 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: Finn Mikaelson | Statement: [Klaus Mikaelson, sibling, Finn Mikaelson]
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: Finn Mikaelson
Triple: [Klaus Mikaelson, sibling, Finn Mikaelson]
Generated description
Finn Mikaelson is one of the Original vampires from The Vampire Diaries/The Originals universe, known as the eldest Mikaelson brother with a strong disdain for his family's immortal existence.

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_69e2c4d678b081908910f4271627a31a completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fd82a3c81909a3bb9ecd2e165fa completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec79ba4481909f0798e80ecacd76 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edf7ff0c8190935a637ff0df364b completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 18, 2026, 3:20 a.m.