Triple

T8449139
Position Surface form Disambiguated ID Type / Status
Subject Alessandru E199756 entity
Predicate hasRelatedName P3889 FINISHED
Object Alessio unclear NED1 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: Alessio | Statement: [Alessandru, hasRelatedName, Alessio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alessio
Context triple: [Alessandru, hasRelatedName, Alessio]
  • A. Alessio Vlad
    Alessio Vlad is an Italian composer and music supervisor known for his film scores, including his work on the drama "Tea with Mussolini."
  • B. Luca Ferraro
    Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
  • C. Luca Bigazzi
    Luca Bigazzi is an acclaimed Italian cinematographer known for his visually striking work on contemporary Italian cinema, including multiple collaborations with director Paolo Sorrentino.
  • D. Gianluca
    Gianluca is an Italian masculine given name commonly used across Italy and among Italian communities worldwide.
  • E. Pierluigi
    Pierluigi is the family name of the renowned Renaissance composer Giovanni Pierluigi da Palestrina, a central figure in 16th-century sacred music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe445b7988190b53ae45070c70d1d completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.