Triple

T23057178
Position Surface form Disambiguated ID Type / Status
Subject Carolina Crescentini E574190 entity
Predicate name P16 FINISHED
Object Carolina Crescentini 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: Carolina Crescentini | Statement: [Carolina Crescentini, name, Carolina Crescentini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolina Crescentini
Context triple: [Carolina Crescentini, name, Carolina Crescentini]
  • A. Carolina Crescentini chosen
    Carolina Crescentini is an Italian actress known for her work in contemporary Italian cinema and television, often appearing in critically acclaimed films and popular series.
  • B. Carolina Rosati
    Carolina Rosati was a celebrated 19th-century Italian ballerina renowned for her dramatic expressiveness and leading roles on major European stages.
  • C. Carolina Valsagna
    Carolina Valsagna is the daughter of Mexican actress and acting coach Adriana Barraza.
  • D. Carolina Fachinetti
    Carolina Fachinetti is the daughter of Italian actress Ornella Muti and has occasionally appeared in the public eye due to her mother's fame.
  • E. Cala Brandinchi
    Cala Brandinchi is a picturesque, shallow turquoise bay on Sardinia’s northeastern coast, often nicknamed “Little Tahiti” for its white sand and crystal-clear water.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18681bec48190a8226b3d89d19b9f completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.