Triple

T111365
Position Surface form Disambiguated ID Type / Status
Subject Charlie Day E2253 entity
Predicate portrayed P1668 FINISHED
Object Luigi
Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
E11428 NE FINISHED

How this triple was built (4 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: [Charlie Day, portrayed, Luigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi
Context triple: [Charlie Day, portrayed, Luigi]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Linus
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Luigi
Triple: [Charlie Day, portrayed, Luigi]
Generated description
Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luigi
Target entity description: Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Primo
    Primo is an Italian masculine given name most famously associated with the writer and Holocaust survivor Primo Levi.
  • F. None of above. chosen

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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25b800d08819099a44429d5c82c68 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27c04949481908af8c8426789bc53 completed Feb. 28, 2026, 5:24 a.m.
NEDg Description generation batch_69a27c8abcb4819091c440c63704d435 completed Feb. 28, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69a27e7787fc819096119337782d84c4 completed Feb. 28, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.