Triple

T30421524
Position Surface form Disambiguated ID Type / Status
Subject Ada Wong E773913 entity
Predicate appearsIn P795 FINISHED
Object Resident Evil: Infinite Darkness
Resident Evil: Infinite Darkness is a CGI animated series set in the Resident Evil universe that follows Leon S. Kennedy and Claire Redfield as they confront a new bioterror threat.
E1925593 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: Infinite Darkness | Statement: [Ada Wong, appearsIn, Resident Evil: Infinite Darkness]
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: Infinite Darkness
Triple: [Ada Wong, appearsIn, Resident Evil: Infinite Darkness]
Generated description
Resident Evil: Infinite Darkness is a CGI animated series set in the Resident Evil universe that follows Leon S. Kennedy and Claire Redfield as they confront a new bioterror threat.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68663d49c81908c44b8cb0f31d014 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870d175c081909ec6cf3cded2efbe completed June 9, 2026, 8 p.m.
NEDg Description generation batch_6a28734bf42c819097b9a2437146d62a completed June 9, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a2873b097ec8190b3b155cb3e315877 completed June 9, 2026, 8:12 p.m.
Created at: April 29, 2026, 8:06 p.m.