Triple

T26032584
Position Surface form Disambiguated ID Type / Status
Subject Mario Sports series E647473 entity
Predicate hasSubseries P35499 FINISHED
Object Mario Strikers series
The Mario Strikers series is a fast-paced, arcade-style soccer video game subseries within the Mario franchise known for its aggressive gameplay, over-the-top special moves, and stylized presentation.
E1703983 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: Mario Strikers series | Statement: [Mario Sports series, hasSubseries, Mario Strikers series]
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: Mario Strikers series
Triple: [Mario Sports series, hasSubseries, Mario Strikers series]
Generated description
The Mario Strikers series is a fast-paced, arcade-style soccer video game subseries within the Mario franchise known for its aggressive gameplay, over-the-top special moves, and stylized presentation.

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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6061b1b5081908dc5e2ac3ac58619 completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1107b161108190b1e1d8000534e79e completed May 23, 2026, 1:49 a.m.
NEDg Description generation batch_6a110851836c8190847505b2b32bb915 completed May 23, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a1108da3d388190ad15ab2ef711263b completed May 23, 2026, 1:54 a.m.
Created at: April 22, 2026, 9:06 a.m.