Triple

T12917140
Position Surface form Disambiguated ID Type / Status
Subject Marilu Henner E309013 entity
Predicate notableRole P22 FINISHED
Object Elaine Nardo E1023134 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: Elaine Nardo | Statement: [Marilu Henner, notableRole, Elaine Nardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elaine Nardo
Context triple: [Marilu Henner, notableRole, Elaine Nardo]
  • A. Elaine Nardo chosen
    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.
  • B. Linda Giuva
    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.
  • C. Janine LaManna
    Janine LaManna is an American actress known for her work in film and on stage, including a role in the romantic comedy "Two Weeks Notice."
  • D. Nancy Barbato
    Nancy Barbato was the first wife of singer Frank Sinatra and the mother of their three children, including entertainer Nancy Sinatra.
  • E. 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."
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a1e8088190af697629baecf59f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63f006c8190997c0f3cdc6efd6c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 5:41 p.m.