Triple

T10346897
Position Surface form Disambiguated ID Type / Status
Subject Luigi Moretti E243771 entity
Predicate givenName P17 FINISHED
Object Luigi E11428 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: Luigi | Statement: [Luigi Moretti, givenName, Luigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi
Context triple: [Luigi Moretti, givenName, Luigi]
  • A. 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.
  • B. Luigi
    Luigi is a small, enthusiastic Italian Fiat 500 who runs a tire shop and provides comic relief in Pixar's Cars franchise.
  • C. 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.
  • D. 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.
  • E. Mario Pino
    Mario Pino is a Chilean archaeologist and geologist best known for his role in uncovering and studying the early human settlement site of Monte Verde in southern Chile.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750879d308190893bd8425aaa49d7 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.