Triple

T36965102
Position Surface form Disambiguated ID Type / Status
Subject Resident Evil novels E914407 entity
Predicate hasWork P6260 FINISHED
Object Resident Evil: Zero Hour
Resident Evil: Zero Hour is a novelization of the video game Resident Evil Zero, expanding on the survival horror story of the early days of the T-virus outbreak.
 E2236712 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: Resident Evil: Zero Hour | Statement: [Resident Evil novels, hasWork, Resident Evil: Zero Hour]
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: Resident Evil: Zero Hour
Triple: [Resident Evil novels, hasWork, Resident Evil: Zero Hour]
Generated description
Resident Evil: Zero Hour is a novelization of the video game Resident Evil Zero, expanding on the survival horror story of the early days of the T-virus outbreak.

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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ff2ff7a8819092ebe72ea0c5d3ea completed May 5, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40ba32c42081908ff46f0c4b4a67c1 completed June 28, 2026, 6:07 a.m.
NEDg Description generation batch_6a40bad6af3c81909af6b14a906f9f40 completed June 28, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a40bb2dad9c81908f42307856e12ec9 completed June 28, 2026, 6:11 a.m.
Created at: May 3, 2026, 4:14 p.m.