Triple

T17595495
Position Surface form Disambiguated ID Type / Status
Subject Fortunata E428558 entity
Predicate screenwriter P2831 FINISHED
Object Margaret Mazzantini 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: Margaret Mazzantini | Statement: [Fortunata, screenwriter, Margaret Mazzantini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Mazzantini
Context triple: [Fortunata, screenwriter, Margaret Mazzantini]
  • A. Margaret Mazzantini chosen
    Margaret Mazzantini is an Italian novelist, playwright, and actress best known internationally for her award-winning novels such as "Don't Move."
  • B. Margaret Ménégoz
    Margaret Ménégoz is a French film producer known for her work on acclaimed European art-house films, including Wim Wenders' "Paris, Texas."
  • C. Marjorie Palmiotti
    Marjorie Palmiotti is a private individual known primarily for being a relative of Catherine Meyer.
  • D. Margaret Shea
    Margaret Shea was the wife of American businessman and Johnson & Johnson heir Robert Wood Johnson II.
  • E. Margaret DeVogelaere
    Margaret DeVogelaere is best known as the third wife of American actor Peter Fonda, with whom she was married from 2011 until his death in 2019.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.