Triple

T4659564
Position Surface form Disambiguated ID Type / Status
Subject Alfieri Maserati E102494 entity
Predicate givenName P17 FINISHED
Object Alfieri E156025 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: Alfieri | Statement: [Alfieri Maserati, givenName, Alfieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfieri
Context triple: [Alfieri Maserati, givenName, Alfieri]
  • A. Alfieri chosen
    Alfieri is the lawyer-narrator in Arthur Miller's play "A View from the Bridge," serving as both chorus and moral commentator on the unfolding tragedy.
  • B. Dante Di Loreto
    Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
  • C. Antonio Vandone di Cortemilia
    Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Camillo
    Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6328387c81909a500e694a739e6e completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf9564c819094b9340570a7616b completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.