Triple

T7366624
Position Surface form Disambiguated ID Type / Status
Subject Mario & Luigi E169884 entity
Predicate hasCrossoverElement P63455 FINISHED
Object Paper Mario characters in Mario & Luigi: Paper Jam LITERAL 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: Paper Mario characters in Mario & Luigi: Paper Jam | Statement: [Mario & Luigi, hasCrossoverElement, Paper Mario characters in Mario & Luigi: Paper Jam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCrossoverElement
Context triple: [Mario & Luigi, hasCrossoverElement, Paper Mario characters in Mario & Luigi: Paper Jam]
  • A. hasCrossovers chosen
    Indicates that one entity features or participates in crossover appearances or interactions with another entity or set of entities.
  • B. hasCrossoverHits
    Indicates that an entity (such as an artist or work) has achieved significant success across multiple distinct genres, markets, or audience categories.
  • C. crossesOverWith
    Indicates that one entity intersects or overlaps with another, typically by passing across or through its path, boundary, or extent.
  • D. hasCross
    Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
  • E. hasTypeOfCross
    Indicates that an entity possesses or is associated with a specific type or style of cross.
  • F. None of above.

Provenance (3 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26d6d6081909c7272a9ccae0d97 completed March 27, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69c6f02d36108190bcb34a95e6a30bd7 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:06 p.m.