Triple

T19562816
Position Surface form Disambiguated ID Type / Status
Subject Linda Giuva E489497 entity
Predicate hasNameInNativeLanguage P1435 FINISHED
Object Linda Giuva 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: Linda Giuva | Statement: [Linda Giuva, hasNameInNativeLanguage, Linda Giuva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Giuva
Context triple: [Linda Giuva, hasNameInNativeLanguage, Linda Giuva]
  • A. Linda Giuva chosen
    Linda Giuva is an Italian archivist and academic known for her work in archival science and for being married to former Italian Prime Minister Massimo D'Alema.
  • B. Linda Ercoli
    Linda Ercoli is a voice actress known for portraying Peppermint Patty in the Peanuts animated productions.
  • C. Vickie Gioberti
    Vickie Gioberti is a fictional character from the American prime-time soap opera "Falcon Crest," known as the daughter of Chase and Maggie Gioberti.
  • D. Donna Gigliotti
    Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
  • E. Elaine Nardo
    Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f74fdb08190852461b5d5c954ac completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.