Triple

T25198595
Position Surface form Disambiguated ID Type / Status
Subject Guerrilla Games E631067 entity
Predicate knownFor P22 FINISHED
Object Horizon franchise
The Horizon franchise is a popular action role-playing game series set in a post-apocalyptic world overrun by robotic creatures, developed by Guerrilla Games and published by Sony Interactive Entertainment.
E1665400 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: Horizon franchise | Statement: [Guerrilla Games, knownFor, Horizon franchise]
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: Horizon franchise
Triple: [Guerrilla Games, knownFor, Horizon franchise]
Generated description
The Horizon franchise is a popular action role-playing game series set in a post-apocalyptic world overrun by robotic creatures, developed by Guerrilla Games and published by Sony Interactive Entertainment.

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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f474b409808190b41f2edafc801130 completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d2a633481908d22a7fa38f88c8d completed May 22, 2026, 1:42 p.m.
NEDg Description generation batch_6a105dd29510819096f65388a14d9b77 completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e8a33d48190bbfcd28b42b6c0af completed May 22, 2026, 1:47 p.m.
Created at: April 21, 2026, 12:51 p.m.