Triple

T15535080
Position Surface form Disambiguated ID Type / Status
Subject Luigi Circuit E370319 entity
Predicate themedAfterCharacter P20708 FINISHED
Object Luigi E11428 NE FINISHED

How this triple was built (3 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: Luigi | Statement: [Luigi Circuit, themedAfterCharacter, Luigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi
Context triple: [Luigi Circuit, themedAfterCharacter, Luigi]
  • A. Luigi chosen
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • B. Luigi
    Luigi is the birth name of Hall of Fame basketball coach Geno Auriemma, renowned for leading the University of Connecticut women's team to multiple national championships.
  • C. Luigi
    Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
  • D. Luigi
    Luigi is a character in Robert Browning's verse drama "Pippa Passes," depicted as an Italian patriot involved in a plot against Austrian rule.
  • E. Luigi
    Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: themedAfterCharacter
Context triple: [Luigi Circuit, themedAfterCharacter, Luigi]
  • A. thematicCharacter
    Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
  • B. themeInvolvingCharacter
    Indicates that a theme, motif, or abstract concept centrally involves or is significantly shaped by a particular character.
  • C. characterTheme
    Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
  • D. themedAs chosen
    Indicates that something is characterized, styled, or organized according to a particular theme or motif.
  • E. mainThemeCharacter
    Indicates that a character serves as the central or primary figure associated with the main theme of a work or narrative.
  • F. None of above.

Provenance (4 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442e327c8190b4b879c8a3cd38e3 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4448c08190ac640642cc8fc41f completed May 9, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69deda7a95c48190bbe29fadcf17191a completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:06 a.m.