Triple

T25201997
Position Surface form Disambiguated ID Type / Status
Subject Devil May Cry 5 E631147 entity
Predicate producer P490 FINISHED
Object Michele Imbimbo
Michele Imbimbo is a video game producer best known for his work on Capcom’s stylish action title Devil May Cry 5.
E1730252 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: Michele Imbimbo | Statement: [Devil May Cry 5, producer, Michele Imbimbo]
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: Michele Imbimbo
Triple: [Devil May Cry 5, producer, Michele Imbimbo]
Generated description
Michele Imbimbo is a video game producer best known for his work on Capcom’s stylish action title Devil May Cry 5.

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_69f474b904f48190be6513788f89c6a9 completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7de64a8819095c05201d0d05acb completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c85c8a208190b4afaaa039b12c6c completed May 23, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a11c9206c588190a43338df1f2e4d88 completed May 23, 2026, 3:34 p.m.
Created at: April 21, 2026, 12:51 p.m.