Triple

T11247820
Position Surface form Disambiguated ID Type / Status
Subject Midasplayer.com E266252 entity
Predicate foundedBy P104 FINISHED
Object Riccardo Zacconi E388410 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: Riccardo Zacconi | Statement: [Midasplayer.com, foundedBy, Riccardo Zacconi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riccardo Zacconi
Context triple: [Midasplayer.com, foundedBy, Riccardo Zacconi]
  • A. Riccardo Zacconi chosen
    Riccardo Zacconi is an Italian entrepreneur best known as the co-founder and former CEO of King, the gaming company behind the hit mobile game Candy Crush Saga.
  • B. Piero Castagnero
    Piero Castagnero was an Italian automotive designer best known for shaping several iconic Lancia models, including the celebrated Fulvia.
  • C. Filippo Barigioni
    Filippo Barigioni was an Italian Baroque architect and sculptor active in Rome in the early 18th century, known for his work on churches, fountains, and urban spaces.
  • D. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in Italy.
  • E. Paolo Ajroldi
    Paolo Ajroldi is an advertising executive best known for co-founding the global marketing and communications agency TBWA Worldwide.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda8fd6f5081908de9a9e3df28a8ea completed May 8, 2026, 9:12 a.m.
Created at: April 8, 2026, 9:31 p.m.