Triple

T14958885
Position Surface form Disambiguated ID Type / Status
Subject Gigi Proietti E373006 entity
Predicate givenName P17 FINISHED
Object Luigi
Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
E1128023 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: [Gigi Proietti, givenName, Luigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi
Context triple: [Gigi Proietti, givenName, Luigi]
  • A. 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.
  • 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. Waluigi
    Waluigi is a lanky, mustachioed antagonist from Nintendo’s Mario franchise, often appearing as Wario’s partner in spin-off sports and party games.
  • 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: [Gigi Proietti, givenName, Luigi]
Generated description
Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luigi
Target entity description: Luigi is the given first name of the Italian actor and comedian Gigi Proietti.
  • A. 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.
  • 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. Waluigi
    Waluigi is a lanky, mustachioed antagonist from Nintendo’s Mario franchise, often appearing as Wario’s partner in spin-off sports and party games.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe80c984288190a10abebc8c07e00d completed May 9, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_69fe818794908190a2fa686adb0575d5 completed May 9, 2026, 12:36 a.m.
Created at: April 10, 2026, 2:40 a.m.