Triple

T25286491
Position Surface form Disambiguated ID Type / Status
Subject Remedy Entertainment E633956 entity
Predicate foundedBy P104 FINISHED
Object Petri Järvilehto
Petri Järvilehto is a Finnish game developer best known as a co-founder and key creative figure behind Remedy Entertainment, the studio behind titles like Max Payne and Alan Wake.
E1686978 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: Petri Järvilehto | Statement: [Remedy Entertainment, foundedBy, Petri Järvilehto]
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: Petri Järvilehto
Triple: [Remedy Entertainment, foundedBy, Petri Järvilehto]
Generated description
Petri Järvilehto is a Finnish game developer best known as a co-founder and key creative figure behind Remedy Entertainment, the studio behind titles like Max Payne and Alan Wake.

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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f48e0921ac8190a4a8fec7be7ad8f6 completed May 1, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b727619c81909095c0366444d1ac completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b82504908190904c1ed84610e0c4 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 1:19 p.m.