Triple

T20352579
Position Surface form Disambiguated ID Type / Status
Subject Al Giardello E496052 entity
Predicate givenName P17 FINISHED
Object Aloysius NE NERFINISHED

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: Aloysius | Statement: [Al Giardello, givenName, Aloysius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aloysius
Context triple: [Al Giardello, givenName, Aloysius]
  • A. Aloysius chosen
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • B. Serafino
    Serafino is a 1968 Italian comedy film starring Adriano Celentano as a carefree shepherd whose unexpected inheritance upends his rural life.
  • C. Xaverius
    Xaverius is a Latinized given name derived from "Xaver" or "Xavier," historically associated with Christian saints and religious traditions.
  • D. Melchiorre
    Melchiorre is the birth name of Pope Pius X, who served as head of the Catholic Church and sovereign of the Vatican City State in the early 20th century.
  • E. Dionigi
    Dionigi is an Italian masculine given name of Greek origin, historically associated with religious and scholarly figures such as Cardinal Dionigi Tettamanzi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67850ace48190b19aff5780fef7e8 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.