Triple

T37540241
Position Surface form Disambiguated ID Type / Status
Subject Blizzard North E933307 entity
Predicate foundedBy P104 FINISHED
Object David Brevik
David Brevik is an American video game designer and programmer best known as a co-creator of the action role-playing game Diablo and a key figure in shaping the hack-and-slash ARPG genre.
E2232444 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: David Brevik | Statement: [Blizzard North, foundedBy, David Brevik]
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: David Brevik
Triple: [Blizzard North, foundedBy, David Brevik]
Generated description
David Brevik is an American video game designer and programmer best known as a co-creator of the action role-playing game Diablo and a key figure in shaping the hack-and-slash ARPG genre.

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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba41f8aac81909476c7c9dea2e599 completed May 6, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f06178c8190b8bf413af4e2fa46 completed June 28, 2026, 4:11 a.m.
NEDg Description generation batch_6a40a01b09b48190afb806ca4774f38c completed June 28, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_6a40a0e074b88190b18ca46f62fc371e completed June 28, 2026, 4:19 a.m.
Created at: May 3, 2026, 4:17 p.m.