Triple
T8872285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micheál Richardson |
E211187
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Made in Italy
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.
|
E763132
|
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: Made in Italy | Statement: [Micheál Richardson, notableWork, Made in Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Made in Italy Context triple: [Micheál Richardson, notableWork, Made in Italy]
-
A.
Cuoio, Italy
Cuoio, Italy is an Italian locality known for its cultural and municipal partnership as a twin town of Rochester in Kent, England.
-
B.
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.
-
C.
Bell’Italia
Bell’Italia is a themed miniature recreation of iconic Italian landscapes and cities located within the Ferrari World Abu Dhabi theme park.
-
D.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
E.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
- 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: Made in Italy Triple: [Micheál Richardson, notableWork, Made in Italy]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Made in Italy Target entity description: 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.
-
A.
Cuoio, Italy
Cuoio, Italy is an Italian locality known for its cultural and municipal partnership as a twin town of Rochester in Kent, England.
-
B.
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.
-
C.
Bell’Italia
Bell’Italia is a themed miniature recreation of iconic Italian landscapes and cities located within the Ferrari World Abu Dhabi theme park.
-
D.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
E.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
- 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_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_69cfa0f1f1888190a5b514b895e44799 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1ee350881909355371d824ebe3d |
completed | April 3, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa26ab1b881909e42a435f4e3333c |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:52 p.m.