Triple

T8872292
Position Surface form Disambiguated ID Type / Status
Subject Micheál Richardson E211187 entity
Predicate coStarredIn P14987 FINISHED
Object Made in Italy E763132 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: Made in Italy | Statement: [Micheál Richardson, coStarredIn, Made in Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Made in Italy
Context triple: [Micheál Richardson, coStarredIn, Made in Italy]
  • A. Made in Italy chosen
    Made in Italy is a 2020 comedy-drama film about a strained father-son relationship set against the backdrop of restoring a family home in Tuscany.
  • B. Cuoio, Italy
    Cuoio, Italy is an Italian locality known for its cultural and municipal partnership as a twin town of Rochester in Kent, England.
  • C. Montale, Italy
    Montale is a municipality in the Tuscany region of central Italy, known for its historic architecture and its location near the city of Pistoia.
  • D. Bell’Italia
    Bell’Italia is a themed miniature recreation of iconic Italian landscapes and cities located within the Ferrari World Abu Dhabi theme park.
  • E. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab9e87cc8190ae3c8c683aa0921e completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.