Triple

T30533043
Position Surface form Disambiguated ID Type / Status
Subject Leon S. Kennedy E777058 entity
Predicate appearsIn P795 FINISHED
Object Resident Evil: Degeneration
Resident Evil: Degeneration is a 2008 CGI animated horror film set in the Resident Evil universe, following Leon S. Kennedy and Claire Redfield as they confront a bioterrorist attack at an airport.
E1941043 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: Degeneration | Statement: [Leon S. Kennedy, appearsIn, Resident Evil: Degeneration]
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: Degeneration
Triple: [Leon S. Kennedy, appearsIn, Resident Evil: Degeneration]
Generated description
Resident Evil: Degeneration is a 2008 CGI animated horror film set in the Resident Evil universe, following Leon S. Kennedy and Claire Redfield as they confront a bioterrorist attack at an airport.

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_69f2249c11508190ae7e955755ccfb01 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6884deb64819083f346e9ac4824ba completed May 2, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb8ca2d881908aec85d2f67fc759 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a2900439a448190b45e6ff6c44cb550 completed June 10, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a2900e532248190aab4af99d9bb94a7 completed June 10, 2026, 6:15 a.m.
Created at: April 29, 2026, 8:18 p.m.